Data Science Expert - Fully Remote

Mercor; New York (NY); Remote; USD 138,000 - 207,000; Full time

Job summary

Mercor is seeking a Data Scientist Talent Network contractor to design precise grading criteria for data science deliverables, spanning exploratory analyses, statistical modeling, ML pipelines, and technical reports. This role focuses on evaluating AI-generated or human work against established criteria.

You will provide detailed written justifications, apply evidence-based judgments for reproducible results, and incorporate feedback from senior reviewers to drive continuous improvement in

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, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling, ML 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.

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.