Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

Mindrift; Philippines; On-site; PHP 8,498,457 - 12,747,685; Full time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems.

Responsibilities include building realistic developer environments, designing tasks, writing tests, and iterating based on QA feedback to ensure fair and robust evaluation. You will collaborate with researchers and engineers, deliver reproducible tasks, and document evaluation criteria.

Qualifications

• 8+ years of software development experience.
• Strong skills in Python (FastAPI) and JavaScript/TypeScript (React).
• Experience writing functional and integration tests.
• English proficiency at least B2+.

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.

Skills

English proficiency (B2+)

Software development

Testing experience

Tools

Python (FastAPI)

JavaScript/TypeScript (React)

Docker

Postgres

Kafka

Redis

Job description

Mindrift Connects Specialists with Project‑Based AI Opportunities

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.

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

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

Qualifications

• 8+ years in software development
• Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
• Experience writing tests (functional, integration)
• English proficiency – B2+

Challenges

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

Effort estimate

Task Estimates

Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Up to $150/hr equivalent, depending on level and pace. Tasks are estimated at ~30 hours each; you set your own schedule.