Remote AI Data Scientist & Analyst — Train Models

Prolific; United States; Remote; USD 66,000 - 110,000; Full time

Benefits offered by this job

Competitive pay rates

Flexible hours

Work from home

Job summary

Prolific is inviting Data Scientists and Data Analysts to join its Expert Network to train and evaluate AI models with real technical expertise. Successful candidates complete a brief test and, if invited, join Prolific as a paid participant.

Researchers paying for tasks can reach up to $80 per hour, with flexible hours and the option to work from home. You will work on tasks requiring focused, uninterrupted effort across diverse projects.

Qualifications

• BS/MS/PhD in Data Science, Statistics, Mathematics, or related quantitative field.
• Real-world experience in data analysis, predictive modeling, or ML engineering.
• Ability to solve complex statistical problems and interpret high-level data visualizations.
• Strong attention to detail and capacity to critique data interpretations and logic.

Responsibilities

• Evaluate LLM responses for accuracy, clarity, and completeness.
• Fact-check technical claims with authoritative references.
• Validate code and outputs using Python/R and test edge cases.
• Annotate model performance and identify strengths/weaknesses in reasoning.
• Ensure model responses align with system guidelines and professional standards.

Skills

Data analysis

Predictive modeling

ML engineering

LLM fluency

Communication

Python

R

Education

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

Tools

SQL

Tableau

Power BI

Matplotlib/Seaborn

PyTorch

TensorFlow

Job description

Prolific is inviting Data Scientists and Data Analysts to join its Expert Network to train and evaluate AI models with real technical expertise. Successful candidates complete a brief test and, if invited, join Prolific as a paid participant.

Researchers paying for tasks can reach up to $80 per hour, with flexible hours and the option to work from home. You will work on tasks requiring focused, uninterrupted effort across diverse projects.