Mindrift

Freelance Agent Evaluation Engineer

Mindrift
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1 day ago
Remote, Belgium +4 moreSenior

Responsibilities

  • Build realistic simulated software-development environments containing codebases, infrastructure, tickets, documentation, conversations, and development context.
  • Create challenging tasks from intermediate environment states and define clear, solvable success criteria for AI coding agents.
  • Write functional and integration tests that accept valid solutions and reject incorrect ones without being overly strict or lenient.
  • 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, as applicable.
  • Experience with Python and FastAPI, JavaScript/TypeScript and React, Docker, Postgres, Kafka, and Redis.
  • Experience writing functional and integration tests.
  • A master's degree in a relevant field, or a bachelor's degree with 5 years of field experience.
  • English proficiency at B2 level or higher.
  • CV submitted in English and indication of English proficiency.

Benefits

  • Remote, part-time freelance project-based work that can fit around other professional or academic commitments.
  • Opportunity to work on advanced AI projects, enhance a portfolio, and influence how future AI models perform and communicate.
  • Paid per accepted task, with the engagement continuing through qualification, project participation, and task completion.
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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