Senior Software Engineer - AI Model Evaluation

Mindrift; Poland; On-site; PLN 125,378 - 208,964; Full time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a project-based role, not permanent employment, with compensation tied to hourly work and deliverables.

You will help build a dataset to evaluate AI coding agents by creating realistic developer environments, crafting tasks, and writing robust tests that accept multiple correct approaches. English proficiency at B2+ is required.

Qualifications

• 5+ years in software development experience.
• Core stack includes Python (FastAPI), JavaScript/TypeScript (React).
• Experience writing tests (functional, integration).
• English proficiency at B2+ or higher.

Responsibilities

• Create challenging tasks and evaluation criteria for AI coding agent datasets.
• Build realistic developer environments with codebase, infra, tickets and docs.
• Design tasks from intermediate states and define solvable criteria.
• Write tests that accept all valid approaches and reject incorrect ones.
• Iterate tasks based on QA feedback to ensure fairness.

Skills

5+ years software dev

Python (FastAPI)

JavaScript/TypeScript (React)

Testing (functional, integration)

English B2+

Tools

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.

How it works

Apply -> Pass qualification(s) -> Join a project -> Complete tasks -> Get paid

Effort estimate

Tasks for this project are estimated to take 20 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

Up to $40/hr equivalent, depending on level and pace. Tasks are estimated at 20 hours each; you set your own schedule.