18 hours ago
Remote, Turkey +5 moreSenior
Responsibilities
- Build realistic simulated developer environments with codebases, infrastructure, tickets, documentation, and conversation history.
- Create challenging developer tasks from intermediate environment states and define clear, solvable success criteria.
- Write functional and integration tests that accept all valid agent solutions and reject incorrect ones.
- Review agent solutions, analyze failures, and refine tasks and tests based on QA feedback.
- Indicate English proficiency and complete qualification steps before joining projects.
Requirements
- At least 5 years of software development experience.
- Experience with Python, FastAPI, JavaScript or TypeScript, React, Docker, Postgres, Kafka, and Redis.
- Experience writing functional and integration tests.
- English proficiency at B2 level or higher.
- A master's degree in a listed computer science, software engineering, data, AI/ML, computational linguistics/NLP, information systems, or related field; a bachelor's degree is accepted with 5 years of field experience.
- At least 3 years of professional experience in related roles or domains, specifically for QA automation/testing or cybersecurity roles.
Benefits
- Remote, part-time, freelance project-based work that can fit around primary professional or academic commitments.
- Opportunity to work on advanced AI projects and build portfolio experience.
- Opportunity to influence how future AI models understand and communicate in the candidate's field.
- Paid per accepted task, with an effective rate of up to $50 per hour equivalent.
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.