Computer Science PhD Remote AI Job – $65–$75/hr
Are you a Computer Science PhD seeking a flexible, high-impact remote role? Mercor is hiring subject-matter experts for a premier project with one of the world’s top AI labs. This hourly contract pays $65–$75 per hour and lets you work asynchronously while shaping the next generation of large language models.
About the Role
As a domain expert, you’ll craft high-quality, challenging problems with real-world applicability. Your work will guide frontier AI research and innovation, contributing directly to the development of advanced language models.
Key Responsibilities
- Create, solve, and review complex AI-related problems within your area of expertise.
- Collaborate asynchronously with a team of highly qualified experts.
- Work 10–20 hours per week, with potential for increased hours and project extensions.
Ideal Qualifications
- Master’s or PhD in Computer Science from a top U.S. university.
- Exceptional written and verbal communication skills.
- High attention to detail and strong English proficiency.
- Based in the U.S., Canada, New Zealand, U.K., or Australia.
Compensation & Details
- Hourly rate: $65–$75 per hour.
- Fully remote and asynchronous work.
- Paid onboarding (up to 1 hour) including screening and training videos.
- Weekly payouts via Stripe Connect as an independent contractor.
Interview Process
🪩 Get Your Scholarship, Visa, Grant or Proposal Approved
Strategy, positioning, and expert restructuring for high-stakes applications.
⚡ Limited weekly review slots • Structured • Results-focused
Who is this for?
Applicants applying for competitive funding, study visas, academic programs, research grants, or professional proposals needing expert-level positioning.
Candidates will complete a short interview to assess domain expertise. Applications are reviewed on a rolling basis, with the project starting in late September.
Sample CV Template
Sample Cover Letter
Sample Email Template
Interview Preparation Guide
Possible Questions
- Describe your experience with large language models and AI research.
- How have you crafted complex, real-world problems in past projects?
- What programming languages and tools do you use for AI development?
- Explain a recent breakthrough in AI that excites you.
- How do you approach problem-solving in ambiguous research areas?
- What strategies ensure accuracy in your work?
- How do you manage asynchronous collaboration?
- What motivates you to contribute to frontier AI research?
Suggested Answers
- Highlight hands-on research with LLMs and relevant publications.
- Discuss frameworks like PyTorch or TensorFlow used to craft problems.
- Show ability to simplify complex topics for practical application.
Do’s & Don’ts
- Do: Share measurable results and specific research examples.
- Do: Show excitement for remote, flexible work.
- Don’t: Use overly technical jargon without explanation.
- Don’t: Undervalue communication skills.
Preparation Checklist
- Update your CV and GitHub with relevant AI projects.
- Prepare clear examples of problem-creation experience.
- Research Mercor’s recent AI collaborations.
- Test your video interview setup for remote calls.
Pro Tips
- Practice explaining complex AI topics in simple terms.
- Highlight flexibility and readiness for asynchronous work.
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