Mindrift

Freelance Agent Evaluation Engineer

Mindrift
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18 hours ago
Remote, Korea, South or Seoul, Korea, SouthSenior

Responsibilities

  • Build realistic simulated developer environments containing codebases, infrastructure, tickets, documentation, and conversations.
  • Design tasks from intermediate environment states and define clear, solvable criteria for AI coding agents.
  • Write functional and integration tests that accept valid solutions and reject incorrect ones.
  • Review agent solutions, analyze failures, and refine tasks and tests based on QA feedback.

Requirements

  • Have 5+ years of software development experience.
  • Have experience with Python and FastAPI, JavaScript/TypeScript and React, Docker, Postgres, Kafka, and Redis.
  • Have experience writing functional and integration tests.
  • Have English proficiency at B2 level or higher.
  • Hold a Master's degree in a relevant field, or a Bachelor's degree with five years of experience in the field.
  • Have at least three years of professional experience in related QA-automation/testing or cybersecurity roles.
  • Submit a CV in English and indicate English proficiency.

Benefits

  • Remote, part-time freelance work that can fit around primary professional or academic commitments.
  • Project-based participation with the opportunity to work on advanced AI projects and enhance a portfolio.
  • Influence how future AI models understand and communicate in software-development contexts.
  • Paid per accepted task, with an effective rate of up to $50 per hour depending on qualification tier and task efficiency.
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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