You will assess complex data science deliverables, including exploratory analyses, statistical models, machine learning pipelines, and experimentation results.
Your feedback will help improve the quality, reliability, and performance of AI-generated data science outputs.

Key Accountabilities:

Design precise, task-specific grading criteria for data science deliverables.
Evaluate AI-generated and human-created data science work against established criteria.
Provide detailed written justifications for evaluations to ensure transparency and reproducibility.

Requirements:

1+ year of professional data science experience with hands-on exposure to real-world analytical or machine learning projects.
Strong command of Python and SQL, with practical experience in data analysis and manipulation.
Ability to work independently in a remote, asynchronous environment while managing priorities and meeting deadlines.

Benefits:

Competitive contract compensation: $100–$150 per hour.
Fully remote opportunity with flexible, asynchronous working environment.
Opportunity to apply data science expertise to the development and evaluation of advanced AI systems.