Mindrift

Competitive Programming Expert - Freelance AI Trainer

Mindrift
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12 hours ago
Remote, United StatesSenior

Responsibilities

  • Write original competitive-programming problems with clear statements, sound constraints, and intended solutions.
  • Implement correct solutions in C++ and Python and create realistic incorrect solutions representing common mistakes.
  • Build generators, edge cases, stress tests, and hacking tests to expose flawed implementations.
  • Write testlib checkers and interactors for problems with multiple valid answers.
  • Verify that correct solutions pass and incorrect solutions fail within the required time limits.
  • Contribute to testing, evaluating, and improving AI coding models through project-based tasks.

Requirements

  • Strong competitive-programming background demonstrated by a public Codeforces profile or IOI, ICPC, or national-olympiad achievement.
  • Fluent contest C++ skills, including STL and complexity analysis, plus comfort writing Python.
  • Ability to explain why solutions are incorrect and construct inputs that break them.
  • Strong written English at the C1+ level.
  • Applicants should submit competitive-programming handles and ratings, problem-setting experience, and IOI/ICPC/olympiad history.
  • Testlib experience, real contest problem-setting or testing experience, and LLM code-benchmark or evaluation-dataset experience are preferred.

Benefits

  • Remote, part-time, project-based freelance work rather than permanent employment.
  • Estimated workload of approximately 10–20 hours per week during active project phases, with no guaranteed workload.
  • Paid per accepted task, with an effective rate of up to the equivalent of $90 per hour depending on qualification tier and efficiency.
  • Tasks are completed after qualification and project assignment and must meet stated deadlines and acceptance criteria.

Tech Stack

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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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