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 that 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: flag issues with clarity, completeness, precision, or solvability.
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.
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
Originally posted on Himalayas
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AI Assessment Specialist - PhD 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.
