Data Science & Analysis - AI Training - Oklahoma City, US

About Prolific

Prolific is building a large pool of quality human data for AI development. Over 35,000 AI developers, researchers, and organizations use the platform to gather data from paid study participants with diverse experiences and skills.

The Role

We're looking for Data Scientists and Data Analysts to join the Expert Network to help train and evaluate AI models using technical expertise. Candidates who meet the experience requirements will complete a short assessment to evaluate their suitability for AI tasks. Successful applicants will join as participants and get paid to train and evaluate AI models.

Researchers seeking these skills may pay up to $80 per hour. Participants must be prepared to complete paid tasks that may require one hour of uninterrupted work, although many tasks are shorter.

What You'll Bring

• BS, MS, or PhD in Data Science, Statistics, Mathematics, or a related quantitative field
• Real-world experience in data analysis, predictive modeling, or machine learning engineering
• Ability to solve complex statistical problems and interpret high-level data visualizations independently
• Strong attention to detail and ability to identify logical fallacies in statistical reasoning or data interpretation
• Significant experience using LLMs in data workflows and understanding of common model hallucinations or failures
• Ability to explain complex mathematical concepts and data insights clearly and concisely
• PayPal account to receive payments

What You'll Be Doing

• Review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness
• Validate mathematical proofs, statistical formulas, and data-driven conclusions using authoritative references
• Execute Python or R scripts to verify outputs and edge case handling
• Identify strengths and weaknesses in AI reasoning for data problems and predictive modeling
• Ensure model responses follow system guidelines and maintain professional technical standards

Key Technologies

• Python (Pandas, NumPy, Scikit-learn) or R
• Advanced SQL for data extraction and manipulation
• Tableau, PowerBI, Matplotlib, or Seaborn for visualization
• PyTorch, TensorFlow, and statistical modeling techniques

Benefits

• Flexible remote work
• Competitive pay rates
• Opportunity to contribute to AI model development
• Fast onboarding process after assessment