AI Evaluation Architect for Data Science Excellence

Mercor; Philadelphia (Philadelphia County); On-site; USD 110,000 - 160,000; Full time

Job summary

Mercor is collaborating with a leading AI research organization to engage experienced data scientists who will define high-quality grading criteria for real-world data science work and score samples with rigorous, written justifications.

You will shape evaluation standards, ensure reproducibility of scores, and integrate structured feedback from senior reviewers to rapidly improve the assessment process. Excellent written communication and 5+ years in data science are required.

Qualifications

• 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.
• Prior experience with AI training, evaluation, or human-data projects is a strong plus.

Responsibilities

• Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations)
• Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
• Apply consistent, evidence-based judgment so that scores are reproducible and defensible
• Incorporate structured feedback from senior reviewers and iterate quickly on your work

Skills

Experiment design

A/B testing

SQL

Python

Executive communication

Written communication

Job description

Mercor is collaborating with a leading AI research organization to engage experienced data scientists who will define high-quality grading criteria for real-world data science work and score samples with rigorous, written justifications.

You will shape evaluation standards, ensure reproducibility of scores, and integrate structured feedback from senior reviewers to rapidly improve the assessment process. Excellent written communication and 5+ years in data science are required.