Freelance Agent Evaluation Engineer at Mindrift

Poland

<p>Please submit your CV in English and indicate your level of English proficiency.</p><p><br />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><p><br />We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.</p><p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><ul><li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</li><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><li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</li><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></ul><p></p><p>What this is NOT:</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p></p><p>What we look for:</p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p></p><p>Why this is hard:<br />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><p></p><p>Requirements and benefits</p><p>Educational qualifications</p><ul><li>A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. </li><li>Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.</li></ul><p></p><p>Academic and/or Professional Experience</p><p>Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles</p><p></p><p>How it works<br />Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p><p></p><p>Compensation:<br />Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $40/hr. Because payment is per task, a faster pace raises your effective hourly rate.</p><p></p><p>Why this freelance opportunity might be a great fit for you? </p><ul><li>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. </li><li>Work on advanced AI projects and gain valuable experience that enhances your portfolio. - Influence how future AI models understand and communicate in your field of expertise.</li></ul>