[Hiring] Applied Computer Science Benchmark Specialist @Weekday AI

Role Description

We are seeking experienced computer science professionals to author and review high-quality academic assessment content for an AI research initiative. In this role, you will develop and validate rigorous multiple-choice questions across a broad range of computer science domains, assess solution quality, and help establish gold-standard benchmarks for evaluating advanced AI systems.

You will contribute through one of two primary task types:

• Question Authoring: Develop original, challenging multiple-choice questions within your area of computer science expertise, assess their difficulty, and submit them for review.
• Question Verification: Review existing questions for technical accuracy, clarity, completeness, and rigor. Make necessary edits, assess difficulty, and document the rationale behind your changes.

Computer Science Domains:

• Accelerator / GPU Kernel Engineering
• Formal Methods & Automated Reasoning
• Computer Architecture & Accelerators
• Distributed Systems
• DevOps & Site Reliability Engineering
• Data Engineering & Databases
• Cloud Computing & Infrastructure
• Operating Systems & Systems Kernel
• Machine Learning Engineering
• Web & API Development
• Embedded Systems Engineering
• Computer Graphics & Game Development
• Mobile Engineering

Key Responsibilities:

• Create original computer science questions that evaluate deep conceptual understanding, technical reasoning, and problem-solving rather than surface-level recall.
• Ensure every question is unambiguous, self-contained, technically accurate, and sufficiently specified for a qualified expert to solve.
• Classify questions by difficulty:
  • Medium: Introductory undergraduate level
  • Hard: Advanced undergraduate level
  • Expert: Postgraduate level and above
• Provide one correct answer alongside nine plausible but subtly incorrect alternatives designed to distinguish strong technical reasoning from superficial knowledge.
• Develop clear, structured solution explanations that demonstrate the reasoning and technical principles required to reach the correct answer.
• Provide 1–5 authoritative references per question, drawing from peer-reviewed research, academic publications, university resources, and other reputable technical sources.
• For verification assignments, identify issues related to correctness, clarity, completeness, precision, or solvability and clearly explain the reasoning behind any recommended edits.
• Apply consistent standards when evaluating questions and solutions to ensure benchmark quality and reproducibility.

Qualifications

• PhD or doctoral candidacy in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
• A Master's degree may be considered for candidates with exceptional expertise in a specialized computer science domain.
• Strong command of graduate-level computer science theory, algorithms, systems, software engineering, architecture, and/or machine learning.
• Demonstrated depth in one or more of the listed technical domains.
• Research publications, substantial industry experience at leading technology organizations, systems engineering experience, or competitive programming experience is a strong plus.
• Excellent written English and the ability to communicate complex technical concepts clearly, accurately, and concisely.
• Strong attention to detail and the ability to distinguish technically valid solutions from plausible but incorrect approaches.

Benefits

• Expected commitment: 10+ hours per week
• Fully remote and asynchronous
• Flexible scheduling based on project requirements
• Opportunity to contribute to the development of high-quality benchmarks for evaluating advanced AI systems
• Strong contributors may be considered for additional review, evaluation, or subject-matter expert opportunities

Application Process

• Submit your resume or a summary of your relevant academic and professional background.
• Selected candidates may be asked to complete a short technical assessment or provide additional information about their area of expertise.

Contract and Payment Terms

• Engagement will be on an independent contractor basis.
• This is a fully remote opportunity that can be completed on your own schedule.
• Projects may be extended, shortened, or concluded early depending on project requirements and performance.
• Work will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
• Payments are made weekly through Stripe or Wise, based on services rendered.
• H-1B and STEM OPT candidates are not eligible for this opportunity at this time.