Senior Python Engineer - AI Coding Agent Evaluation Freelance

Mindrift

Manila

On-site

PHP 7,630,000 - 12,716,000

Full time

43 hours ago
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Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This role centers on building realistic developer environments, crafting tasks from intermediate states, and designing precise evaluation criteria that reflect real-world coding work.

You will write tests that accept all valid approaches and reject incorrect ones, iterate on tasks with QA feedback, and help ensure the evaluation remains fair,

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+.

Responsibilities

  • Build realistic developer environments - a virtual company with codebase, infrastructure, and context that forms a believable development history.
  • Design tasks from intermediate states of these environments - craft the prompt, define what is solved, and ensure solvability by an AI agent.
  • Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones.
  • Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until evaluation is fair and robust.

Skills

8+ years in software development
English proficiency (B2+)

Tools

Python (FastAPI)
JavaScript/TypeScript (React)
Docker
Postgres
Kafka
Redis

Job description

Job Description:
What this opportunity involves:

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:
Were building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.


Youll 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:
  • 8+ 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 paidEffort estimate

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:

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $150/hr. Because payment is per task, a faster pace raises your effective hourly rate.

Requirements:
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