Technical AI Evaluator - Python, Automation or Security

Mindrift; United States; On-site; USD 55,000 - 69,000; Full time

Job summary

Mindrift seeks a software evaluation engineer to craft realistic developer environments and structured tasks for AI coding agents. You will define what counts as solved, write tests that accept multiple correct approaches, and iterate on tasks based on QA feedback.

Strong Python/FastAPI and React experience is required, with Docker, Postgres, Kafka, and Redis proficiency. You will collaborate with a cross-functional team to ensure evaluations are fair, robust, and scalable, while maintaining

Qualifications

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

Responsibilities

• Build realistic developer environments—a virtual company with codebase, infrastructure, and context (tickets, docs, conversations).
• 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

Python

FastAPI

JavaScript/TypeScript

React

Docker

Postgres

Kafka

Redis

Job description

What this opportunity involves

We’re building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.

• 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.

How it works

Compensation

Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.