AI Evaluation Engineer

Mindrift; Doha; On-site; QAR 207,000 - 295,000; Full time

Benefits offered by this job

Flexible schedule

Competitive hourly rate

Job summary

Mindrift is assembling a dataset and evaluation framework to test AI coding agents. You will construct realistic developer environments, including codebases, infrastructure, and contextual artifacts such as tickets and docs, to simulate a believable history.

You will design tasks from intermediate states, define solvable criteria for AI agents, and craft tests that tolerate multiple valid approaches while rejecting incorrect ones.

Qualifications

• 5+ years in software development
• Core stack: Python (Fast API), 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
• Design tasks from intermediate states of these environments and define what solved means
• 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 fairness and robustness

Skills

Python

JavaScript/TypeScript

React

Docker

PostgreSQL

Kafka

Redis

Testing

English proficiency

Tools

Docker

PostgreSQL

Kafka

Redis

Job description

Industry Information Technology and Services

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.