AI Scientist Researcher – Remote
Mercor
Part time
Software Development
Canada
Hiring from: Canada
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: Machine Learning Researcher
Type: Independent contractor
Compensation: $120/hour
Location: Remote
Commitment: 20–40 hours/week
Role Responsibilities
Must-Have
,
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: Machine Learning Researcher
Type: Independent contractor
Compensation: $120/hour
Location: Remote
Commitment: 20–40 hours/week
Role Responsibilities
- Compile external ML competitions into challenging tasks that reflect real-world responsibilities.
- Validate implementations against original plans and mark discrepancies.
- Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
- Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Must-Have
- 5+ years of experience in applied machine learning or a PhD in machine learning or related fields.
- Strong understanding of ML research methodologies, experimental design, and evaluation practices.
- Excellent analytical and technical writing skills.
- Experience with reproducibility or benchmarking in ML research.
- Detail-oriented and able to deliver high-quality, structured feedback independently.
- Hourly contractor
- Paid weekly via Stripe Connect
- Submit your resume or CV highlighting relevant ML research or engineering experience.
- Complete a short AI-based interview and a brief questionnaire about your experience.
- Selected candidates will receive detailed onboarding materials and access to the project environment.
- 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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