Survey Statistician – AI Trainer

About the role

Join the DataAnnotation team as a Survey Statistician – AI Trainer and help shape cutting‑edge AI systems that reason about data and analytics. You will work remotely, set your own schedule, and evaluate AI‑generated quantitative work to ensure real‑world validity.

Key responsibilities

• Assess AI‑generated statistical analyses, predictive models, and scientific reasoning for technical accuracy.
• Design and solve quantitative problems used to train and benchmark AI models, including forecasting, experimental analysis, and optimization.
• Write clear technical explanations and well‑documented analytical code.
• Provide feedback that directly influences the next generation of AI models for quantitative reasoning.

Required profile

• Minimum 2 years of hands‑on experience in a quantitative role such as data science, statistics, economics, finance, physics, biology, or related research.
• Comfortable writing and reviewing end‑to‑end analytical code.
• Fluent English with strong written communication skills.
• Bachelor’s degree in a quantitative discipline (preferred).

Required skills

• Statistical analysis
• Predictive modeling
• Experiment design (A/B testing, hypothesis testing)
• Regression, classification, and time‑series forecasting
• Analytical coding (e.g., Python, R or similar)

What we offer

• Fully remote work from the US, Canada, UK, Ireland, Australia or New Zealand.
• Flexible schedule – choose projects and work times.
• Competitive hourly pay ranging from $50 to $100+ with performance bonuses.
• Opportunity to impact the development of AI systems that reason about data.