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July 15, 2026
Data Science & Analysis - AI Training - Portland, US
Mid • On-site
Portland, OR
Prolific is building a global pool of quality human data used by AI developers, researchers, and organizations to improve AI systems.
The role
We're looking for Data Scientists and Data Analysts to join an Expert Network to help train and evaluate AI models using real technical expertise. Candidates who meet the experience requirements will complete a short assessment to evaluate their suitability for AI tasks. Successful participants will be invited to complete paid tasks related to AI model training and evaluation.
Researchers looking for these skills may pay up to $80 per hour. Tasks may require one hour of uninterrupted work, though some 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 advanced 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 limitations
- Ability to explain mathematical concepts and data insights clearly and concisely
- PayPal account to receive payment
What you'll be doing in the role
- 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 data-related scripts in Python or R to verify outputs and edge-case handling
- Annotate strengths and weaknesses in AI reasoning and predictive modeling
- Ensure model responses follow system guidelines and maintain professional technical standards
Key Technologies
- Python (Pandas, NumPy, Scikit-learn)
- R
- SQL
- Tableau
- PowerBI
- Matplotlib
- Seaborn
- PyTorch
- TensorFlow
Benefits
- Competitive pay rates
- Flexible hours
- Remote work opportunities
- Fast onboarding after assessment completion
- Opportunity to contribute to future AI model development
By submitting an application, candidates agree that personal data may be collected for recruiting and organizational planning purposes.
