Mindrift

Freelance Agent Evaluation Engineer

Mindrift
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20 hours ago
Remote, Turkey +5 moreSenior

Responsibilities

  • Build realistic simulated developer environments containing codebases, infrastructure, tickets, documentation, and conversations.
  • Design challenging tasks from intermediate environment states and define fair, solvable success criteria.
  • 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.
  • Experience writing functional and integration tests.
  • Working knowledge of Python with FastAPI; JavaScript/TypeScript with React; Docker; Postgres; Kafka; and Redis.
  • English proficiency at B2 level or higher.
  • A master’s degree in a relevant field such as Computer Science, Software Engineering, Data Science, Artificial Intelligence, Computational Linguistics/NLP, or Information Systems; a bachelor’s degree is accepted with 5 years of experience.

Benefits

  • Remote, part-time, project-based freelance work.
  • Flexible work that can fit around primary professional or academic commitments.
  • Opportunity to work on advanced AI projects and enhance a professional portfolio.
  • Opportunity to influence how future AI models understand and communicate in the relevant field.
  • Paid per accepted task, with compensation up to the equivalent of $50 per hour.
Mindrift

About Mindrift

1,001-5,000 employees

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.

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