AI Evaluation Engineer

Mindrift; Doha; On-site; QAR 150,000 - 251,000; Part time

Benefits offered by this job

Mindrift project-based engagement

Job summary

Mindrift builds datasets to evaluate AI coding agents in realistic, simulated environments. You will craft tasks, evaluation criteria, and tests to ensure robust assessments of model performance across a believable development history.

We seek developers with 5+ years in software, strong Python/JS stacks, Docker and data tooling, plus English proficiency (B2+). This is a project-based role with flexible ownership and schedule.

Qualifications

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

Responsibilities

• Build a dataset to evaluate AI coding agents in realistic environments.
• Create challenging tasks and evaluation criteria within simulated environments.
• Write tests that verify agent solutions, accepting all valid approaches.
• Iterate on tasks and tests based on QA feedback to ensure fairness and robustness.

Skills

5+ yrs dev

Python (FastAPI)

JavaScript/TypeScript

Testing: functional/integration

English B2+

Docker

Postgres

Kafka

Redis

Tools

Docker

Postgres

Kafka

Redis

Job description

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 (Fast API), Java Script/Type Script (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 $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.