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Computer Science Specialist – Remote (Pay‑Per‑Task)

Crossing Hurdles

Remote
Contract Remote Senior 🇬🇧 English
Python

Job description

About the role

We are seeking a remote Computer Science Specialist to design and evaluate advanced CS problems that test AI model performance. This short‑term contract role pays $250 per approved task and runs for approximately three months.

Key responsibilities

  • Design challenging computer‑science problems covering algorithms, systems design, cybersecurity, databases, networks, theory of computation, operating systems, and related areas.
  • Develop clear, step‑by‑step reference solutions with rigorous logic and well‑structured explanations.
  • Evaluate AI‑generated responses for correctness, reasoning quality, completeness, and alignment with problem requirements.
  • Identify flaws, edge cases, and near‑miss reasoning patterns in AI outputs.
  • Collaborate with researchers to refine benchmarks for undergraduate to PhD‑level topics.
  • Provide structured feedback to improve problem quality, benchmark reliability, and model evaluation standards.

Required profile

  • Ph.D. in Computer Science or a closely related field (completed or in progress).
  • Deep expertise in advanced CS reasoning across multiple domains such as algorithms, systems design, cybersecurity, databases, networks, theory of computation, and operating systems.
  • Strong analytical, critical‑thinking and problem‑solving abilities.
  • Excellent written communication skills with attention to detail.
  • Ability to provide high‑quality, structured feedback on AI‑generated responses.
  • LinkedIn profile must be included in the resume.

Required skills

  • Python (knowledge of data analysis is a plus).

What we offer

  • Flexible remote work with up to 40 hours per week and a required 4‑hour overlap with Pacific Standard Time.
  • Compensation of $250 per approved task.
  • Immediate start and a three‑month contract duration.

Questions fréquentes

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Le contrat proposé est un Contract.

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Published 4 months ago

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