Machine Learning Scientist | Up to $75/hr at Mercor
Date: 17 hours ago
City: Remote, Remote
Contract type: Part time
Remote
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 PhD
Type: Contract
Compensation: $65–$75/hour
Duration: 10–20 hours/week
Commitment: 10–20 hours/week
Role Responsibilities
Must-Have
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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 PhD
Type: Contract
Compensation: $65–$75/hour
Duration: 10–20 hours/week
Commitment: 10–20 hours/week
Role Responsibilities
- Craft high-quality, challenging problems with real-world applicability to inform the future of AI innovation.
- Work asynchronously with a team of highly qualified experts across your domain.
- Solve and review challenging problems to ensure AI model performance and relevance.
- Contribute to a cutting-edge project involving frontier large language models.
- Collaborate with subject matter experts to ensure consistency and coverage across datasets.
Must-Have
- Master's or PhD in Computer Science from a top US university.
- High attention to detail.
- Exceptional written and verbal communication skills.
- Excellent proficiency in English.
- Currently based in the U.S., Canada, New Zealand, UK, or Australia.
- Late September; applications reviewed on a rolling basis.
- Complete a short interview to assess your domain expertise.
- Paid for up to 1 hour of onboarding time, including the screening process and onboarding videos if hired.
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
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