Data Science & Analysis - AI Training - Portland, US

Summary

Prolific is a company focused on building a vast pool of quality human data for AI applications. They are seeking Data Scientists and Data Analysts to join their Expert Network to help train and evaluate advanced AI models using real technical expertise.

Responsibilities

• Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness
• Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions
• Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly
• Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models
• Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior

Skills

• Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field
• Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering
• Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently
• Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations
• LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail
• Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely
• A PayPal account to receive payment from our clients
• Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R
• Data Querying: advanced SQL for complex data extraction and manipulation
• Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn
• Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques

Qualifications

Must Haves

• Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field
• Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering
• Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently
• Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations
• LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail
• Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely
• A PayPal account to receive payment from our clients
• Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R
• Data Querying: advanced SQL for complex data extraction and manipulation
• Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn
• Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques

Benefits

• Paid tasks
• Ability to work from home
• Flexible hours
• Pays via a PayPal account to receive payment from our clients