Computer Science Planning QA Reviewer (Remote)

About the role

We are looking for a remote Computer Science Planning QA Reviewer to ensure the quality and technical rigor of advanced automated planning and symbolic reasoning problems used to train large language models. You will work independently on a flexible schedule, contributing to high‑impact AI research.

Key responsibilities

• Review and quality‑check automated planning and symbolic reasoning problem sets.
• Verify technical correctness, completeness, and clarity of datasets.
• Identify inconsistencies, edge cases, and ambiguities in problem formulations.
• Participate in a multi‑review evaluation process to maintain consistent standards.
• Provide clear written and verbal feedback to problem authors.

Required profile

• Deep expertise in computer science, machine learning, operations research, or related quantitative fields.
• Strong knowledge of automated planning, symbolic systems, or closely related research areas.
• Exceptional attention to detail and rigorous quality‑assurance standards.
• Ability to communicate technical feedback effectively.
• Willingness to complete a short interview and evaluation task during onboarding.

Required skills

• Automated planning
• Symbolic reasoning
• Machine learning concepts

What we offer

• Hourly rate of $55‑$80 with weekly payouts via Stripe or Wise.
• Fully remote work with flexible hours.
• Potential for contract extension based on performance and project needs.