About this opportunity
Confidential lists this Data Scientist for AI Model Evaluation opportunity in Parker Ford, Pennsylvania. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role Overview
Join a talent network of experienced data scientists who may contribute to future projects evaluating how effectively AI systems perform real-world data science work for leading AI research organizations.
Key Responsibilities
Create precise, task-specific grading criteria for data science deliverables, including exploratory analyses, statistical modeling, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks.
Evaluate AI-generated or human-created work using established criteria.
Provide detailed written explanations supporting evaluations and scores.
Apply consistent, evidence-based judgment to produce reproducible, defensible assessments.
Incorporate structured feedback from senior reviewers and revise submitted work accordingly.
Responsibilities will vary by project.
Qualifications
At least 1 year of professional data science experience.
Experience at a leading technology, research, or quantitative firm, such as a top FAANG company, AI lab, top-tier quantitative fund, or equivalent organization.
Strong Python and SQL skills, plus expertise in statistical modeling, machine learning, experimentation, causal inference, and turning messy real-world data into rigorous analyses.
Exceptional written communication skills and the ability to explain technical findings clearly.
A detail-oriented, consistent approach to evaluating complex work.
Comfort receiving feedback and calibrating judgment to established standards.
Work Terms
Remote, hourly engagement.
There is no immediate project opening. Qualified applicants may be contacted as relevant opportunities become available.
Compensation
$100 to $150 per hour.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.