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Statistics Specialist - Freelance AI Trainer Project

Agency - United States of America

Posted Jun 7, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$6-$65/hr From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$55,390 U.S. median for this role
Projected growth (BLS Employment Projections)
-0.1% - Decline

33% above the BLS role benchmark for teaching and education aggregate.

Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Teaching Education From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Bootstrapped From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Statistics Specialist - Freelance AI Trainer Project United States of America Are you a statistics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline data analysis for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for statistics specialists who live and breathe probability theory, statistical modeling, data analysis, hypothesis testing, regression analysis, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning algorithms. You'll challenge advanced language models on topics like statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on data scenarios and theoretical statistics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in statistics, data science, mathematics, or a closely related field is ideal; peer‑reviewed publications, applied statistical research, or hands-on experience with large datasets signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your statistics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after

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