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: Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66–$84/hour Location: Remote Commitment: 10+ hours/week
Role Responsibilities
- Author original computer science questions to test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined.
- Rate each question's difficulty as Medium, Hard, or Expert. Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
- Write step-by-step Chain-of-Thought solutions in markdown format. Supply 1–5 academic references per question from reputable sources.
- For verification tasks, review pre-written questions for accuracy and clarity. Flag issues and justify any edits made.
- Work independently and asynchronously to meet deadlines while advancing AI capabilities.
Qualifications
Must-Have
- PhD or doctoral candidate in Computer Science , Electrical Engineering , or a closely related field.
- 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
- Master's degree considered for candidates with exceptional depth in a specific subdomain.
- Research publications, industry experience at top tech companies, or competitive programming background.
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Computer Science Expert - Fully Remote | Upto $84/hr Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
