Data Science Specialist - Fully Remote | Upto $170/hr

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 Science Expert
Type: Contract
Compensation: $120–$170/hour
Location: Remote
Role Responsibilities

- Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts.

- Score AI-generated and human work samples against criteria with detailed written justifications for every score.

- Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.

- Incorporate structured feedback from senior reviewers and iterate quickly on your work.

- Work independently and asynchronously to meet deadlines while improving AI model performance .

Qualifications

Must-Have

- 5+ years of professional data science experience in industry.

- Background in business operations, product, or growth data science at top-tier technology companies.

- Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.

- Exceptionally strong written communication.

- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.

Preferred
- Prior experience with AI training , evaluation, or human-data projects.

Application Process (Takes 20–30 mins to complete)

- Submit your resume or relevant technical background to get started.

- Qualified applicants may be asked to complete a brief technical assessment or submit additional information.

Resources & Support

- For details about the interview process and platform information, please check:

- For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas