Mercor
Data Science Expert - Fully Remote | Upto $150/hr
Skills
2 months ago
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Important information
Contract type:
Part time
Location:
Toronto, ON, Canada
Work mode:
Onsite
Published on:
11 August 2026
What they need
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: Data Scientist Talent Network
Type: Contract Compensation: $100–$150/hour Location: Remote Role Responsibilities
- Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.
- Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
- Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
- Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
- Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications Must-Have
- 1+ years of professional data science experience.
- Experience at a leading technology, research, or quantitative firm.
- Strong command of Python, SQL, statistical modeling, machine learning, and experimentation.
- Exceptional written communication skills.
- Detail-oriented and consistent approach to evaluating complex work.
- Comfort receiving feedback and calibrating judgment against established standards.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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