AI Evaluation Engineer (Python, QA or Security)

Mindrift

  • San Antonio, TX
  • 7 days ago
  • Remote

    Highlights

    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. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

    Numbers & Facts

    LocationSan Antonio, TX (
    Remote
    )

    Description

    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. Participation is project-based, not permanent employment.

    What this opportunity involves 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.

    How it works 

    Apply Pass qualification(s) Join a project Complete tasks Get paid 

    Compensation 

    Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.

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