Freelance Agent Evaluation Engineer
Mindrift
IndiaremotePosted 8 days ago
Skill Required
AI-Evaluation-EngineerQA-Automation-EngineerSoftware-Testing-EngineerAI-Assessment-SpecialistAI-TesterAgent-Evaluation-EngineerAgent-Evaluation-SpecialistEvaluation-EngineerNLPsoftware engineeringGenerative AIMachine LearningCybersecurityEngineeringJavaScriptTypeScriptautomationanalyticsbuildingPostgreSQLFastAPITestNGPythonDockerdesignReactKafkaRedisandAIContract
Key highlights
- Up to $30/hr equivalent compensation
- Project-based freelance work, part-time and remote
- 5+ years software development experience required
- English proficiency B2+ required
- Master's degree preferred (bachelor's accepted with 5 years experience)
- 3+ years professional experience in QA-automation/testing or cybersecurity roles
Role overview
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. The company is building a dataset to evaluate AI coding agents—specifically how well models handle real-world developer tasks. Participants will create challenging tasks and evaluation criteria within realistic simulated environments, iterating based on QA feedback to ensure fair and robust evaluation. This is freelance, project-based work, not permanent employment.
Responsibilities
- 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
Requirements
- 5+ years in software development
- Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
- Experience writing tests (functional, integration)
- English proficiency - B2+
- Educational qualifications: 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
- Bachelor's degree is accepted if candidate has 5 years of experience in the field
- Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles
Benefits
- Paid per accepted task - rate depends on qualification tier reached and task completion efficiency, up to equivalent of $30/hr
- Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
- 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
Additional details
- 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
- Why this is hard: 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.