20 hours ago
Remote, Spain +3 moreSenior
Responsibilities
- Build realistic simulated developer environments containing codebases, infrastructure, tickets, documentation, and conversations.
- Design tasks from intermediate environment states and define clear, solvable success criteria for AI coding agents.
- Write functional and integration tests that accept valid agent solutions and reject incorrect ones.
- Review agent solutions, analyze failures, and iterate on tasks and tests based on QA feedback.
Requirements
- At least 5 years of software development experience.
- At least 3 years of professional experience in related QA automation/testing or cybersecurity roles or domains.
- Experience with Python and FastAPI, JavaScript/TypeScript and React, Docker, Postgres, Kafka, and Redis.
- Experience writing functional and integration tests.
- English proficiency at B2 level or higher.
- A Master’s degree in Computer Science, Software Engineering, Data Science/Data Analytics, Artificial Intelligence/Machine Learning, Computational Linguistics/Natural Language Processing, Information Systems, or a related field; a Bachelor’s degree is accepted with 5 years of relevant experience.
Benefits
- Part-time, remote, freelance project-based work that can fit around other professional or academic commitments.
- Paid per accepted task, with compensation up to the equivalent of $40/hr depending on qualification tier and efficiency.
- Opportunity to work on advanced AI projects, build portfolio experience, and influence future AI model evaluation.
- Participation is project-based and not permanent employment.
Tech Stack
Categories
About Mindrift
Mindrift builds an expert-sourcing platform that connects domain specialists to project-based work training and evaluating generative AI models, including supervised fine-tuning, RLHF, evaluation, and red-teaming. It is built and operated by Toloka, part of Nebius Group, and run from Amsterdam, Netherlands. Work is fully remote and freelance, serving global technology companies developing and improving large AI systems.