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

mercor; India; Remote; INR 16.019.000 - 22.693.000; Vollzeit

Zusammenfassung

Mercor is seeking a Data Science Expert for a remote, contract role. You will design precise grading criteria for data science deliverables including analyses, models, dashboards, and experiment readouts, and score samples with detailed justification.

You will apply consistent, reproducible judgments and incorporate feedback from senior reviewers while collaborating with AI research teams to improve training data quality and downstream performance.

Qualifikationen

• 5+ years of professional data science experience in industry.
• Deep fluency in experiment design, A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
• Detail-oriented with strong written communication and ability to have judgments calibrated against peers.

Aufgaben

• Design precise, task-specific grading criteria for real-world data science deliverables.
• Score AI-generated and human work samples with justified reasoning.
• Apply 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.

Kenntnisse

Experiment design

A/B testing

Metric definition

Written communication

Executive communication

Tools

SQL

Python

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, 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.