Freelance Agent Evaluation Engineer

Mindrift; Polska; Remote; PLN 178,000 - 253,000; Part time

Benefits offered by this job

Remote work

Freelance / project-based

Part-time schedule

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems.

Participation is project-based, not permanent employment. You’ll build realistic developer environments, design tasks, write tests, and iterate based on QA feedback to ensure robust evaluation of models.

Qualifications

• Master’s Degree in CS, Software Eng, AI or related fields.
• Bachelor’s degree accepted if 5 years experience.
• 5+ years in software development.
• Experience writing tests (functional, integration).
• English proficiency – B2+.

Responsibilities

• Create realistic task environments with code, infra, tickets and docs.
• Design tasks from intermediate states and define success criteria.
• Write tests to validate agent solutions for multiple approaches.
• Iterate tasks and tests based on QA feedback to ensure fairness.

Skills

5+ years in software dev

English proficiency

Education

Master’s Degree in CS / related fields

Bachelor’s degree with 5+ years experience

Tools

Python (FastAPI)

JavaScript/TypeScript (React)

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.

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.

Requirements and benefits

Educational qualifications

• A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.
• Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.

Academic and/or Professional Experience

• Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $40/hr.

Because payment is per task, a faster pace raises your effective hourly rate.

Why this freelance opportunity might be a great fit for you?

• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.