This opportunity is intended for experienced Senior Python Engineers only****

Open to candidates in the North America, South America, Asia and Europe.

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 - You must meet all the requirements in order to be considered for this project:

5+ years of professional experience with Python. Strong experience with FastAPI, pytest, and async/await. Hands-on experience with Docker, PostgreSQL, and CI/CD pipelines. Proven experience writing and maintaining automated tests (not just executing them). Full-stack experience with React and TypeScript is a plus. English proficiency at B2 level or higher. Availability to work 30+ hours per week.

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

Hiring & Onboarding Process

The process is designed to move quickly and typically includes the following steps:

App review and invitation to a virtual project introduction session (approximately 30 minutes) Platform registration and identity verification Technical assessment (approximately 35 minutes) Background check (completed at no cost to candidates) Onboarding and project-specific training tasks Begin production work!

Additional Requirements

Willingness to complete identity verification as part of the onboarding process. Ability to complete a technical assessment. Willingness to join and participate in Discord, which will be used for project communication and updates. Successful completion of a background check is required prior to onboarding. Reliable internet connection and ability to communicate effectively in a remote environment.