AI Evaluation Engineer (Python, QA or Security)

Mindrift; India; On-site; INR 2,886,000 - 3,936,000; Part time

Job summary

Mindrift is building a dataset to evaluate AI coding agents by creating realistic developer environments and tasks that simulate real-world workflows. You will guide the task design, specify success criteria, and ensure tests cover multiple valid solutions.

This project-based opportunity requires extensive software development experience and strong English skills (B2+). You’ll collaborate with a distributed team, write evaluation tests, and iterate until the dataset realistically challenges top

Qualifications

• 5+ 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 and a virtual company with codebase, infra, tickets, docs, and conversations.
• Design tasks from intermediate states of these environments: craft prompts, define success criteria, ensure solvability by an AI agent.
• Write tests that verify agent solutions, accepting all valid approaches and rejecting incorrect ones.
• Iterate on tasks and tests based on QA feedback to ensure fair and robust evaluation.

Skills

Software development

Test design

English proficiency

Tools

Python

FastAPI

JavaScript

TypeScript

React

Docker

Postgres

Kafka

Redis

Job 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.

Compensation

Up to $30/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.