Data Science Expert - Fully Remote | Upto $150/Hr

Mercor; San Francisco (CA); Remote; GBP 103,000 - 154,000; Part time

Job summary

Mercor is hiring a Data Scientist for its Talent Network on a contract basis. The role is remote with a pay rate of 100–150 USD per hour.

You will evaluate data science work against rigorous criteria, design grading rubrics, and provide detailed written justifications to ensure high-quality, reproducible assessments. Applicants should have 1+ years of data science experience, strong Python and SQL skills, and a proven ability to communicate technical findings clearly.

Qualifications

• 1+ years of professional data science experience.
• Experience at a leading technology, research, or quantitative firm.
• Strong command of Python, SQL, statistical modeling and machine learning.
• Exceptional written communication skills for conveying technical findings.
• Detail-oriented and consistent approach to evaluating complex work.

Responsibilities

• Design precise grading criteria for data science deliverables including exploratory analyses, models, pipelines and reports.
• Evaluate AI-generated or human work against established criteria for quality and accuracy.
• Provide detailed written justifications for evaluations and scores to ensure transparency.
• Apply evidence-based judgment for reproducible and defensible assessments.
• Incorporate structured feedback from senior reviewers and iterate for continuous improvement.

Skills

1+ years data science experience

Python

SQL

Statistical modeling

Machine learning

Written communication

Detail-oriented

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 Scientist Talent Network
Type: Contract
Compensation: $100-$150/hour
Location: Remote

Role Responsibilities

• Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses, statistical modeling work, machine learning pipelines, and technical reports.
• Evaluate AI-generated or human-created work against established criteria to ensure quality and accuracy.
• Provide detailed written justifications for evaluations and scores to maintain transparency.
• Apply consistent, evidence-based judgment for reproducible and defensible assessments.
• Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.

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, and machine learning.
• Exceptional written communication skills for conveying technical findings.
• Detail-oriented and consistent approach to evaluating complex work.

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: [e-mail]

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