Machine Learning Researcher | Upto $75/hr Hourly at Mercor

Back to jobs
Mercor

Machine Learning Researcher | Upto $75/hr Hourly

1d ago
Location
Remote
Type
Remote · Part-time
Compensation
$73k – 156k/hr
Skills
Machine LearningAlgorithmsSystems DesignComputer Science TheoryMarkdownTechnical Writing
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Computer Science Content Author/Reviewer Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original computer science questions that test deep conceptual understanding, not surface-level recall. • Ensure questions are unambiguous, self-contained, and precisely defined with all necessary information in the problem statement. • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above). • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers. • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format. • Supply 1–5 academic references per question from reputable sources like peer-reviewed journals or university repositories. • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made. Qualifications Must-Have • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field. • Master's degree considered for candidates with exceptional depth in a specific subdomain. • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning. • Excellent written English and ability to express complex ideas clearly and concisely. Preferred • Research publications, industry experience at top tech companies, or competitive programming background. Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.