Remote Data Scientist for AI Training & Evaluation

Prolific Academic Ltd; United States; Remote; USD 55,000 - 110,000; Full time

Benefits offered by this job

PayPal payments

Work from home

Flexible hours

Competitive pay rates

Job summary

Prolific is seeking Data Scientists and Data Analysts to join its Expert Network for training and evaluating AI models. You may be invited to join as a paid participant after a brief test, with pay up to $80 per hour and flexible, remote work options.

Ideal candidates have a strong background in data science, statistics or ML, plus hands-on experience with Python/R, SQL and data visualization. LLM fluency and clear communication are essential for high-quality outputs.

Qualifications

• Formal education in data science, statistics, mathematics or related quantitative field.
• Real-world data analysis, predictive modeling or ML engineering experience.
• Ability to solve complex statistical problems and interpret data visualizations.
• Strong communication of mathematical concepts and data insights.
• Significant experience using LLMs to support data workflows and identifying hallucinations.

Responsibilities

• Review AI-generated data insights for accuracy, clarity, and completeness.
• Fact-check technical claims with authoritative references.
• Validate code and outputs by running Python/R scripts and handling edge cases.
• Annotate model performance and identify strengths/weaknesses in reasoning.
• Ensure model responses align with system guidelines and professional standards.

Skills

Data analysis experience

Predictive modeling

Machine learning

Statistical reasoning

LLM workflows

Data visualization

Python

SQL

Education

BS/MS/PhD in Data Science/Statistics/Mathematics

Tools

Python

R

SQL

Tableau/PowerBI

PyTorch/ TensorFlow

Job description

Prolific is seeking Data Scientists and Data Analysts to join its Expert Network for training and evaluating AI models. You may be invited to join as a paid participant after a brief test, with pay up to $80 per hour and flexible, remote work options.

Ideal candidates have a strong background in data science, statistics or ML, plus hands-on experience with Python/R, SQL and data visualization. LLM fluency and clear communication are essential for high-quality outputs.