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Data Science Specialist - Fully Remote
Job summary
United States
Work model
Fully remote
Only United States
2 months ago
Job description
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 Experts
Details
- Type: Contract
- Compensation: $70--$100/hour
- Location: Remote
- Commitment: 40 hours/week
Role Responsibilities
- Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
- Design challenging data science tasks and write accurate, well-structured analytical solutions.
- Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
- Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
Must-Have
- 3 years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
- Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
- Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.
Preferred
- Prior experience with data annotation, labeling, evaluation, or human feedback collection.
- Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.
Compensation & Legal
- W-2 employment with Cincinnatus LLC.
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.

