Data Science Expert - Fully Remote - Upto $150/hr

mercor; San Francisco (CA); Remote; CAD 190,000 - 285,000; Full time

Job summary

Mercor, a San Francisco-based talent network, connects elite data scientists with leading AI labs. This remote contract role offers $100–$150 per hour and the opportunity to contribute to state-of-the-art machine learning projects.

As Data Scientist, you will design precise grading criteria for deliverables, perform exploratory analyses, and evaluate outputs against established standards. Collaboration with senior reviewers ensures transparent, reproducible assessments.

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.
• Evaluate AI-generated or human work against criteria to ensure quality and accuracy.
• Provide written justifications for evaluations and scores to maintain transparency.
• Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.

Skills

Python

SQL

Statistical modeling

Machine learning

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.