Data Science & Analysis - AI Training - El Paso, US
Data Science & Analysis - AI Training - El Paso, US is an open role at Prolific Participants, available remotely, with pay listed as Up to $80/hr.
Applications open on Prolific Participants’s own site. How we make money.
About this role
Data Science & Analysis - AI Training 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. Annotate Model Performance: identify strengths and weak
Pay
Up to $80/hr
As listed by Prolific Participants: “Researchers looking for your skills tend to pay up to $80 per hour .”
About Prolific Participants
Prolific Participants's connection to Prolific: Direct participant marketplace and expert network. Research studies, behavioural data and AI evaluation/training tasks
Ownership confidence: Confirmed. See the full network profile →
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Frequently asked questions
How do I apply for the Data Science & Analysis - AI Training - El Paso, US role at Prolific Participants?
Applications go through Prolific Participants's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Prolific Participants's access model is "Waitlist" (Join waitlist / register). This listing was first seen here on July 25, 2026 and was still live at the last check.
Is the Data Science & Analysis - AI Training - El Paso, US role at Prolific Participants remote?
Yes - Prolific Participants lists this role as remote.
What does the Data Science & Analysis - AI Training - El Paso, US role at Prolific Participants pay?
Prolific Participants indicates Up to $80/hr for this role, but hedges the figure rather than committing to it. Treat it as an indication: HumanSourcer flags hedged pay instead of presenting it as a firm rate, and the listing's own wording is quoted in the Pay section above.
What kind of work is Data Science & Analysis - AI Training - El Paso, US?
AI model evaluation. Research studies, behavioural data and AI evaluation/training tasks
Is Prolific Participants a legitimate AI-training platform?
Direct participant marketplace and expert network - and that relationship is rated "Confirmed" here because it can be checked against www.prolific.com rather than taken on Prolific Participants's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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