Data Science & Analysis
US$80 / hr base salary
Posted 29 Apr 2026
Advertised as “Data Science & Analysis - AI Training - Austin, US”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
| Base salary | US$80 / hr |
|---|
Data Science & Analysis - AI Training
About Prolific
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.
Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
The role
We’re looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models.
Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
What you’ll bring
- 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
What you’ll be doing in the role
- 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.