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

mercor; United States; Remote; USD 165.000 - 234.000; Vollzeit

Zusammenfassung

Mercor is seeking a Data Science Expert for a remote contract to help assess and grade AI and data science deliverables. You will design precise criteria and score samples with justification, applying evidence-based judgment to ensure reproducibility and defensibility.

Collaborating asynchronously with senior reviewers, you will iterate quickly to improve model performance while clearly communicating findings to executive stakeholders.

Qualifikationen

• 5+ years of professional data science experience in industry.
• Background in business operations, product, or growth data science at top tech firms.
• Deep fluency in experiment design, A/B testing, metric definition, SQL and Python analysis.
• Exceptionally strong written communication and ability to present to executives.
• Detail-oriented and comfortable with peer review and calibration.

Aufgaben

• Design precise grading criteria for data science deliverables.
• Score AI-generated and human work samples with detailed written justifications.
• Apply evidence-based judgment to ensure scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Kenntnisse

Data science experience

Experiment design

A/B testing

SQL

Python

Communication

Jobbeschreibung

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 such as analyses, models, dashboards, and experiment readouts.
• Score AI-generated and human work samples against criteria with detailed written justifications for every score.
• Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.
• Work independently and asynchronously to meet deadlines while improving AI model 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 and 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.