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Freelance Agent Evaluation Engineer

Mindrift
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Remote
6 days ago
  • AI
  • Python
  • FastAPI
  • JavaScript
  • TypeScript
  • React.js
  • Docker
  • PostgreSQL
  • Redis
  • Machine Learning
  • Natural Language Processing
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Please submit your CV in English and indicate your level of English proficiency.


Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.ย Participation isย project-based, not permanent employment.


We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.

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. 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.

Requirements and benefits

Educational qualifications

  • A Masterโ€™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.
  • Bachelorโ€™s degree is accepted if only candidate has 5 years of experience in the field.

Academic and/or Professional Experience

Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles

How it works
Apply โ†’ Pass qualification(s) โ†’ Join a project โ†’ Complete tasks โ†’ Get paid

Compensation:
Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks โ€” up to the equivalent of$30/hr. Because payment is per task, a faster pace raises your effective hourly rate.

Why this freelance opportunity might be a great fit for you?ย 

  • 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.

Freelance Agent Evaluation Engineer ยท Mindrift

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