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

mercor; Deutschland; Remote; EUR 147,000 - 209,000; Full time

Job summary

Mercor is seeking a Data Science Expert for a remote, contract-based engagement. You will design grading criteria for data science deliverables, score AI-generated and human samples, and provide detailed written justifications.

You will apply evidence-based judgment to ensure scores are reproducible and defendable, while iterating with senior reviewers. You will collaborate with AI research teams to improve training data quality and downstream performance, and communicate findings to executive

Qualifications

• 5+ years of professional data science experience in industry.
• Experience with business operations, product, or growth data science at top-tier tech companies.

Responsibilities

• Design precise grading criteria for data science deliverables such as analyses, models, dashboards and experiment readouts.
• Score AI-generated and human work samples against established criteria with written justifications.
• Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.
• Collaborate with AI research teams to improve training data quality and downstream performance.

Skills

5+ years exp

Experiment design

A/B testing

Executive communication

Data storytelling

Tools

SQL

Python

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

Role Responsibilities

• Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, and experiment readouts.
• Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications.
• Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.
• Collaborate with AI research teams to improve training data quality and downstream 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, 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.