Freelance Agent Evaluation Engineer

Job summary

You will design challenging coding tasks and evaluation criteria within realistic simulated developer environments to test AI agents. Additionally, you will write tests to verify agent solutions and iterate on tasks based on QA feedback to ensure evaluation robustness.

Job details

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. 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. 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 How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $50/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.

What you’ll do

You will design challenging coding tasks and evaluation criteria within realistic simulated developer environments to test AI agents. Additionally, you will write tests to verify agent solutions and iterate on tasks based on QA feedback to ensure evaluation robustness.

Requirements

Candidates must have at least 5 years of software development experience and proficiency in the core stack including Python, JavaScript, and Docker. A Master's degree in a relevant field is required, or a Bachelor's degree combined with 5 years of professional experience.

Listed skills

• Redis · Preferred
• PostgreSQL · Preferred
• Docker · Preferred
• React · Preferred
• JavaScript · Preferred
• TypeScript · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• FastAPI
• JavaScript
• TypeScript
• React
• Docker
• Postgres
• Kafka
• Redis
• Software Development
• QA Automation
• Cybersecurity
• Functional Testing
• Integration Testing
• AI Evaluation
• Influencing Skills
• Prompt Engineering
• Influencing Without Authority
• Data Labeling
• AI Agents
• JavaScript (Programming Language)
• Artificial Intelligence
• Data Analysis
• Test Automation
• Computer Science
• Computational Linguistics
• Information Systems
• Cyber Security
• English Language
• Python (Programming Language)
• PostgreSQL
• Machine Learning
• Natural Language Processing (NLP)
• Safety Assurance
• Software Engineering
• Data Science
• React.js (Javascript Library)
• Apache Kafka
• Codebase
• Docker (Software)
• Artificial Intelligence Infrastructure

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Science & Research
• Evaluation Engineer
• Natural Language Processing Engineer
• Software Developers
• Computer and Information Research Scientists