Remote Data Science Auditor for AI Analytics

prolificacademicltd; United States; Remote; USD 91,000 - 129,000; Full time

Job summary

prolificacademicltd is seeking individuals to apply data science or analytics skills to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may review model responses, verify results, and provide feedback on how the system reasons through data problems.

Responsibilities include assessing AI-generated analyses for accuracy, running Python or R scripts to check edge cases, and clearly communicating statistical ideas.

Qualifications

• Degree in data science, statistics, mathematics, or a related quantitative field.
• Hands-on experience with data analysis, predictive modeling, or ML engineering.
• Strong statistical reasoning and ability to interpret complex visualizations.
• Attention to detail; identify flawed logic in data arguments.
• Experience using large language models in data workflows.
• Clear communication of math ideas; PayPal account required for payment.

Responsibilities

• Assess AI-generated analyses for accuracy and completeness.
• Verify statistical claims against reliable references.
• Run Python or R scripts to check results and edge cases.
• Describe model strengths and weaknesses in analysis and reasoning.
• Check that responses follow task guidelines and maintain standards.

Skills

Data analysis

Predictive modeling

Machine learning engineering

Statistical problem solving

Communication of findings

Attention to detail

LLMs in data workflows

Education

Bachelor/Master/PhD in data science or quantitative field

Tools

Python

R

SQL

Tableau/Power BI

Pandas/NumPy

PyTorch/TensorFlow

Job description

prolificacademicltd is seeking individuals to apply data science or analytics skills to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may review model responses, verify results, and provide feedback on how the system reasons through data problems.

Responsibilities include assessing AI-generated analyses for accuracy, running Python or R scripts to check edge cases, and clearly communicating statistical ideas.