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<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents — how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build virtual companies following a high-level plan - codebase, infrastructure, and context (conversations, documentation, tickets) that form a realistic environment with development history Assemble and calibrate tasks from intermediate states of the virtual company: craft the prompt, define evaluation criteria, and ensure the task is solvable and the evaluation is fair Design tasks set in isolated environments - emulations of a developer's workstation: a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation, etc.<br>), and a real web application codebase Write tests that accept all correct solutions and reject incorrect ones - neither too strict (breaking on valid approaches) nor too lenient (passing bad ones) Iterate with an AI agent on tests - verifying they catch real problems, don't miss bad solutions, and don't break on good ones Review code written by agents, analyze why an agent failed or succeeded, and design edge cases and adversarial scenarios Iterate based on feedback from expert QA reviewers who score your work on quality criteria What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate A significant part of the work is done together with AI - it's very hard to create tasks that challenge frontier models without using frontier models.<br> What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Computer Science, Software Engineering, or related fields 5+ years in software development, primarily Python (FastAPI, pytest, async/await, subprocess, file operations) Background in full-stack development, with experience building React-based interfaces (JavaScript/TypeScript) and robust back-end systems Experience writing tests (functional, integration — not just running them) Docker containers, and familiarity with infrastructure tools (Postgres, Kafka, Redis) CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) English proficiency - B2 You don't need to be an expert in every item, but you should be comfortable reading and reasoning about code across the stack.<br> Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions.<br> Writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $40 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents — how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build virtual companies following a high-level plan - codebase, infrastructure, and context (conversations, documentation, tickets) that form a realistic environment with development history Assemble and calibrate tasks from intermediate states of the virtual company: craft the prompt, define evaluation criteria, and ensure the task is solvable and the evaluation is fair Design tasks set in isolated environments - emulations of a developer's workstation: a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation, etc.<br>), and a real web application codebase Write tests that accept all correct solutions and reject incorrect ones - neither too strict (breaking on valid approaches) nor too lenient (passing bad ones) Iterate with an AI agent on tests - verifying they catch real problems, don't miss bad solutions, and don't break on good ones Review code written by agents, analyze why an agent failed or succeeded, and design edge cases and adversarial scenarios Iterate based on feedback from expert QA reviewers who score your work on quality criteria What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate A significant part of the work is done together with AI - it's very hard to create tasks that challenge frontier models without using frontier models.<br> What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Computer Science, Software Engineering, or related fields 5+ years in software development, primarily Python (FastAPI, pytest, async/await, subprocess, file operations) Background in full-stack development, with experience building React-based interfaces (JavaScript/TypeScript) and robust back-end systems Experience writing tests (functional, integration — not just running them) Docker containers, and familiarity with infrastructure tools (Postgres, Kafka, Redis) CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) English proficiency - B2 You don't need to be an expert in every item, but you should be comfortable reading and reasoning about code across the stack.<br> Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions.<br> Writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $40 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Do you want to make a difference in people's lives? </strong></p><br><p>We are looking for a<strong> Retention Agent</strong> (<strong>English Speaker</strong>) to join our growing team! </p><br><p><strong>Who we are:</strong></p><br><p><strong>WUDUH </strong>is the Jordanian operations hub servicing a U.S.-based company specializing in financial settlement solutions. At the heart of our work, we help people manage and navigate their financial future with confidence. </p><br><p>Beyond our work, we are passionate about nurturing talent and promoting a culture of innovation, creativity, and endless possibilities. If you are looking for a place to develop your skills and make a real impact, <strong>WUDUH </strong>is where you can grow and succeed. </p><br><p>Job Objectives: </p><br><p>The Retention Agent is responsible for engaging with clients who express a desire to cancel their enrollment in the program. The role involves investigating the true source of dissatisfaction, offering rebuttals when appropriate, and re-selling the value of the program. By combining active listening, persuasive communication, and follow-up strategies, the Retention Agent supports client satisfaction and long-term program commitment</p><br><p>Responsibilities and duties: </p><br><p>1. Client Retention & Objection Handling:</p><br><p>• Accept inbound transfer calls and make outbound calls to clients requesting cancellation.</p><br><p>• Explore and identify the root cause of client dissatisfaction beyond the initial complaint.</p><br><p>• Offer rebuttals and solutions where appropriate to retain clients.</p><br><p>• Re-sell the value of the program and correct any client misunderstandings.</p><br><p>2. Program Knowledge & Support:</p><br><p>• Answer program-related questions and provide accurate information.</p><br><p>• Clarify terms, correct misconceptions, and reinforce the benefits of program participation.</p><br><p>• Display thorough knowledge of debt settlement processes and client expectations.</p><br><p>3. Follow-up & Performance Tracking:</p><br><p>• Complete necessary paperwork and system updates for clients who agree to stay enrolled.</p><br><p>• Track retention success metrics and report on performance.</p><br><p>• Conduct follow-up calls to ensure client satisfaction and reinforce retention.</p><br><p>Qualifications: </p><br><p>• Diploma in Business Administration, Finance, or a related field</p><br><p>• Bachelor’s degree in Business Administration, Finance, or a related field is a plus.</p><br><p>Years of Experience: </p><br><p>1–2 years in client retention, sales, or customer support roles, preferably in a call center environment.</p><br><p>Competencies / Behavioral Requirements:</p><br><p>• Strong communication and persuasion skills.</p><br><p>• Excellent attention to detail and follow-up.</p><br><p>• Proactive mindset with a high degree of independence.</p><br><p>• Professional, confident, and positive demeanor.</p><br><p>• Enthusiastic personality with a focus on customer care.</p><br><p>• Comfortable working in a fast-paced, high-energy environment.</p><br><p>Technical Requirements:</p><br><p>• Proficiency in MS Office (Excel, Word, Outlook).</p><br><p>• Familiarity with consumer credit, collections, or debt settlement programs is a plus.</p><br><p>• Ability to type at least 35 WPM with 90% accuracy.</p><br><p>• CRM or call center software experience preferred.</p><br><p><strong>What we offer:</strong> </p><br><ul>
<li>Comprehensive health insurance </li>
<li>Competitive compensation package </li>
<li>Prime central location </li>
<li>Discounts on food, beverages, and wellness services </li>
<li>Continuous learning and development opportunities </li>
<li>A dynamic, inclusive, and supportive work environment </li>
<li>A workplace led by Gen Z and Millennials </li>
</ul><p><strong>Employment type:</strong> </p><br><ul>
<li>Full-time </li>
<li>On-site </li>
</ul><p><strong>Working days:</strong> </p><br><ul>
<li>Monday to Friday: Night Shift </li>
<li>6th day: Based on need, managed fairly based on priorities and urgency </li>
</ul><p><strong>Ready to make your mark?</strong> </p><br><p>Apply now for a career that merges your talents with innovation. At <strong>WUDUH</strong>, your journey to a fulfilling career is just a click away! </p><br><p>Learn more at <strong><em>wuduh.zenats.com</em></strong> </p><br><p><strong>Students and fresh graduates are encouraged to apply. </strong> </p><br><p><em>Eligibility is limited to Jordanian nationals and individuals born to Jordanian mothers.</em> </p><br><p><strong>Stay connected</strong> </p><br><p><em>We invite you to follow us on our social media platforms to stay updated on the latest news, events, and career opportunities at </em><strong><em>WUDUH</em></strong><em>. </em> </p><br><p><em>You can find us on: </em> </p><br><ul>
<li>
<em>LinkedIn</em> </li>
<li>
<em>Instagram</em> </li>
</ul><p><em>Wuduh is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of gender, race, religion, or disability.</em></p><br>
<br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Process all reservation requests, changes, and cancellations received by phone, fax, or mail. Identify guest reservation needs and determine appropriate room type. Verify availability of room type and rate. Explain guarantee, special rate, and cancellation policies to callers. Accommodate and document special requests. Answer questions about property facilities/services and room accommodations. Follow sales techniques to maximize revenue. Input and access data in reservation system. Indicate special room reservation types (e.g., complimentary rooms, employee discounts, travel agent inspection rates, and wholesale reservations) by inputting the correct code and rate into the reservation system. Follow proper escalation procedures when addressing guest concerns.</p>
<p>Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets; protect the privacy and security of guests and coworkers. Welcome and acknowledge all guests according to company standards; anticipate and address guests service needs; assist individuals with disabilities; thank guests with genuine appreciation. Speak with others using clear and professional language; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Comply with quality assurance expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Education:</strong> High school diploma or G.E.D. equivalent.</p>
<p><strong>Related Work Experience:</strong> No related work experience.</p>
<p><strong>Supervisory Experience:</strong> No supervisory experience.</p>
<p><strong>License or Certification:</strong> None</p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong><u>JOB PURPOSE</u></strong><br>The Imports/Export agent is responsible on the daily import or export activities at AMM GATEWAY operations, reporting to different shifts, AMM GATEWAY agent will be holding tasks related to inbound flights recovery/clearance or outbound flights export. The agent is also responsible in helping to achieve Gateway KPI’s through effectively working together as a team with the rest of the Gateway staffs and while holding different tasks depending on shifts roster. <br><br><strong><u>PRINCIPAL ACCOUNTABILITIES</u></strong><br><ul><li>Provide a high level of customer service while processing inbound or outbound tasks, taking into account the consideration that all DHL customers have an express requirement and are looking for instant and immediate action.</li><li>Follow Gateway inbound clearance procedures as outlined in the GATEWAY manual to comply with the GSOP procedures and safe working practices.</li><li>Maintain a clean desk policy and file all documents required for storing paper works in a systematic way which are easy to access when required.</li><li>Daily updates on clearance status of all shipments held in AMM GATEWAY for clearance using different DHL applications.</li><li>Daily check points to be created for network visibility using appropriate exception codes for different activities at AMM GATEWAY.</li><li>Maintain a thorough knowledge of all departments, DHL network, products and services so that customers are provided accurate information on transit time, clearance delays, custom paperwork requirements, packing, accounting and sales queries with confidence at all times.</li><li>Highlight any recurring problems that are manifested through traces and then direct the information accordingly so that corrective actions can be taken promptly.</li><li>Work effectively both individually and as part of a team to achieve both individual and department goals and objectives and strive consistently to promote a positive team spirit by learning all activities within the department.</li></ul><br><strong><u>NATURE AND SCOPE</u></strong><br><strong>Context</strong><br>The Gateway import agent department has been structured to provide telephone assistance to customers (internal and external) when making inquiries, logging in customer requests, assisting customers on clearance requirements and inquiries with regards to delayed or missing shipments. The department expands DHL’s capabilities, both re-actively and pro-actively, to ensure that all customers (internal and external) experience consistently high levels of service at all times. <br>The multifunctional Gateway import Agent must ensure that service levels are constantly met and exceeded through accurate updates, trace escalations and regular communication with both the network and the customer. <br><strong>Reporting Relationships</strong><br>Reports directly to the Gateway supervisor.<br><strong>Contact</strong><br>External<br><ul><li>Customers</li><li>DHL Network</li></ul><br>Internal <br><ul><li>Ground Operation</li><li>Customer Care </li><li>CS Manager & Supervisors</li><li>Air operations </li><li>Sales</li><li>Accounts</li><li>Customer Accounting</li><li>Service center T/L</li></ul><br><strong>Problem Solving</strong><br>The job holder must take ownership of all customer inquiries and queries and provide alternatives and solutions closing it out at their end. Traces must be logged and followed up regularly to deliver optimum levels of service at all time. For escalations the jobholder must follow the network standards and consult with the Team Leader/Supervisor if unsure.<br><strong>Decision Making</strong><br>The jobholder will be responsible for giving accurate clearance information to customs agents as instructed by the importer with the ultimate objective being service excellence and customer satisfaction. They must communicate all delays and other service issues to the Team leader/ Supervisor.<br><strong>Planning and Organization</strong><br><br>The job holder must be highly organized in while holding tasks at AMM GATEWAY, daily follow – ups and plan a course of action to ensure that set targets and goals are achieved consistently.<br><br><strong>Job Challenge</strong><br><br>The jobholder must always be pro-active and energetic when dealing with customers efficiency in work practices and effective and friendly communication will be key to delighting our customers, adopt DHL “Right from first time” principle.<br>The jobholder must constantly strive to keep self-updated on all DHL processes, systems, products, technology and set and strive to achieve higher standards, ready to work on different shifts and Gateway operations task.<br><strong>KNOWLEDGE, SKILLS AND EXPERIENCE</strong><br><ul><li>Sound educational back ground with knowledge of the Service Industry, an added advantage.</li><li>Sound knowledge of custom clearance procedures. </li><li>Working knowledge of Microsoft Word, Excel and Power Point.</li><li>Good oral and written communication skills – English & Arabic. </li><li>Self motivated individual capable of taking ownership and working independently.</li><li>Tolerance for stress in a fast paced working environment.</li><li>Excellent planning and organising skills.</li><li>Passion for delighting customers.</li><li>Good team player.</li><li>Adheres to policies and procedures.</li><li>Possesses good relationship building and interpersonal skills.</li></ul><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>POSITION SUMMARY Process all reservation requests, changes, and cancellations received by phone, fax, or mail. Identify guest reservation needs and determine appropriate room type. Verify availability of room type and rate. Explain guarantee, special rate, and cancellation policies to callers. Accommodate and document special requests. Answer questions about property facilities/services and room accommodations. Follow sales techniques to maximize revenue. Input and access data in reservation system. Indicate special room reservation types (e.g., complimentary rooms, employee discounts, travel agent inspection rates, and wholesale reservations) by inputting the correct code and rate into the reservation system. Follow proper escalation procedures when addressing guest concerns. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets; protect the privacy and security of guests and coworkers. Welcome and acknowledge all guests according to company standards; anticipate and address guests service needs; assist individuals with disabilities; thank guests with genuine appreciation. Speak with others using clear and professional language; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Comply with quality assurance expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: High school diploma or G.E.D. equivalent.</p><p>Related Work Experience: No related work experience.</p><p>Supervisory Experience: No supervisory experience.</p><p>License or Certification: None</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p> <p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p> <p> </p> <p> <strong>Role and responsibilities</strong> </p> <p>A Customer Care Agent facilitates the relationship between the company and the customers by interacting with customers over the voice or text channels, He/She is responsible for answering customers queries, providing service information, solves any emerging problems that customers might encounter, and represents the company in the best possible way.</p> <p> </p> <p> <strong>Your typical day includes:</strong> </p> <ol> <li>Answer any questions the customer may have about available products and services.</li> <li>Establish new customer accounts, recording account information on written forms or digitally.</li> <li>Listen to customer concerns and complaints with the goal of identifying the causes of the problem.</li> <li>Select appropriate responses to customer issues and work quickly to resolve them.</li> <li>Refer advanced cases to management for resolution, providing background information as necessary.</li> <li>Anticipate customer needs, following up with previous customers to offer reorders or additional services.</li> <li>Liaise will all departments within the company to resolve customer issues.</li> </ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol> <li>Flexibility to work different shifts (including evenings, weekends, or holidays).</li> <li>Willingness to participate in training before hire and on-the job.</li> <li>Excellent listening skills and an empathetic voice and manner.</li> <li>Dedication to customer satisfaction.</li> <li>Basic knowledge of computer software and office systems.</li> <li>Ability to thrive in fast-paced environment, multitasking while keeping focus on the customer.</li> <li>Familiarity with all of the goods and services offered by the company.</li> <li>Experience in Automotive Industry is a plus.</li> </ol><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>POSITION SUMMARY</strong></p>
<p>Process all reservation requests, changes, and cancellations received by phone, fax, or mail. Identify guest reservation needs and determine appropriate room type. Verify availability of room type and rate. Explain guarantee, special rate, and cancellation policies to callers. Accommodate and document special requests. Answer questions about property facilities/services and room accommodations. Follow sales techniques to maximize revenue. Input and access data in reservation system. Indicate special room reservation types (e.g., complimentary rooms, employee discounts, travel agent inspection rates, and wholesale reservations) by inputting the correct code and rate into the reservation system. Follow proper escalation procedures when addressing guest concerns.</p>
<p>Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets; protect the privacy and security of guests and coworkers. Welcome and acknowledge all guests according to company standards; anticipate and address guests service needs; assist individuals with disabilities; thank guests with genuine appreciation. Speak with others using clear and professional language; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Comply with quality assurance expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: High school diploma or G.E.D. equivalent.</p>
<p>Related Work Experience: No related work experience.</p>
<p>Supervisory Experience: No supervisory experience.</p>
<p>License or Certification: None</p><p></p></section>