Author and verify rigorous multiple-choice computer science assessment items across many CS domains to create gold-standard benchmarks for AI research. Produce correct answers, nine plausible distractors, solution explanations, difficulty labels, and authoritative references. Review and edit questions for technical accuracy, clarity, and reproducibility. Contribute asynchronously as an independent contractor, ~10+ hours/week, fully remote.
This role is for one of our clients
Compensation: $66 - $84 per hour
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.
RequirementsComputer 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
- 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.
- 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.
- 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
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.
Equal OpportunityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations throughout the application and engagement process.
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.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads to understand customers’ insurance needs, recommend appropriate coverages, and convert prospects into policyholders. The role includes paid training and licensing support, requires a Property and Casualty license after hire, and involves remote work on a fixed weekday and weekend schedule. Representatives must deliver persuasive, customer-focused service while meeting sales goals.
Top Skills:
PcWired High-Speed Internet
Beauty • Robotics • Design • Appliances • Manufacturing
Own global compensation cycle administration, system configuration, benchmarking, job architecture, salary structures, pay reporting, equity support, and compensation analysis across the Americas, EMEA, and APAC. Partner with HR, recruiting, payroll, legal, finance, and managers on offers, promotions, pay equity, and transparency requirements. Improve compensation operations through AI and automation, maintain data integrity, and deliver training and communications on compensation programs.
Top Skills:
Artificial IntelligenceAutomationBusiness IntelligenceFidelity PswGoogle SheetsMercerExcelOracle HcmPaveRadford
Beauty • Robotics • Design • Appliances • Manufacturing
Own end-to-end data products, including source onboarding, API and file-feed ingestion, orchestration, incremental and idempotent pipelines, Snowflake and dbt Cloud modeling, testing, documentation, alerting, and production reliability. Establish engineering standards, manage secrets and governance, use AI coding tools responsibly, collaborate with vendors and stakeholders, and mentor junior engineers.
Top Skills:
AirflowAmazon S3DagsterDbt CloudGitJinjaPythonRest ApisSftpSnowflakeSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
