Mindrift

Freelance Agent Evaluation Engineer

Mindrift
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11 hours ago
Remote, Japan +3 moreSenior

Responsibilities

  • Build realistic simulated developer environments containing codebases, infrastructure, tickets, documentation, and conversations.
  • Design tasks from intermediate environment states, including prompts and criteria defining successful solutions.
  • Write functional and integration tests that accept all valid agent approaches and reject incorrect solutions.
  • Review agent solutions, analyze failures, and iterate on tasks and tests using QA feedback.

Requirements

  • At least 5 years of software development experience.
  • Experience with Python and FastAPI.
  • Experience with JavaScript or TypeScript and React.
  • Experience with Docker, Postgres, Kafka, and Redis.
  • Experience writing functional and integration tests.
  • English proficiency at B2 level or higher.
  • A master's degree in a relevant field, or a bachelor's degree accepted with 5 years of relevant experience.
  • At least 3 years of professional experience in related roles or domains for QA automation/testing or cybersecurity roles.

Benefits

  • Part-time, remote, freelance project that can fit around other professional or academic commitments.
  • Exposure to advanced AI projects and portfolio-building experience.
  • Opportunity to influence how future AI models understand and communicate in software development.
  • Payment per accepted task, with rates depending on qualification tier and efficiency and up to the equivalent of $50/hr.
  • Project-based participation rather than permanent employment.
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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