Quantitative AI Trainer

About the role

Join DataAnnotation’s remote team to help shape next‑generation AI systems that reason about data, models, and scientific problems. You will work directly with state‑of‑the‑art models, evaluating their quantitative outputs and providing feedback that improves real‑world accuracy.

Key responsibilities

• Evaluate AI‑generated quantitative analyses, including statistical tests, predictive models, and scientific reasoning, for technical correctness and real‑world validity.
• Design and solve quantitative problems used to train and benchmark AI models, covering forecasting, experimental analysis, optimization, and inference.
• Write clear technical explanations and well‑documented analytical code.
• Provide detailed feedback that directly influences model development and performance.

Required profile

• 2+ years of hands‑on experience in a quantitative role such as data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.
• Proficiency in writing and reviewing analytical code end‑to‑end.
• Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time‑series forecasting).
• Fluent English with strong written communication skills.
• Bachelor’s degree in a quantitative discipline (preferred).

Required skills

• Python
• R
• Statistical analysis
• Predictive modeling
• A/B testing
• Hypothesis testing
• Regression
• Classification
• Time‑series forecasting

What we offer

• Fully remote work from the US, Canada, UK, Ireland, Australia, or New Zealand.
• Flexible schedule – choose projects and work hours that suit you.
• Competitive hourly pay ranging from $50 to $100+ with performance bonuses.
• Opportunity to impact the future of AI systems that perform quantitative reasoning.