Astrophysicist - AI Trainer

About the role

We are seeking quantitative professionals to train state-of-the-art AI models. The role involves evaluating AI-generated quantitative analyses, designing benchmark problems, and providing feedback that shapes how these systems reason about data and scientific problems. Work is fully remote and can be taken on a flexible, contract basis.

Key responsibilities

• Evaluate AI-generated quantitative work for technical accuracy and real-world validity, including statistical analysis, predictive modeling, and scientific reasoning.
• Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
• 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

• 3+ years of hands-on experience in a quantitative role or research environment (e.g., data science, statistics, economics, physics, biology, epidemiology, operations research).
• Comfort 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 writing skills.
• Bachelor’s degree in a quantitative field preferred; advanced degree a plus.

Required skills

• Coding (analytical code)
• Statistical methods
• Predictive modeling
• Experiment design
• A/B testing
• Hypothesis testing
• Regression analysis
• Classification techniques
• Time-series forecasting

What we offer

• Choose projects and schedule that suit you.
• Remote work from your own computer.
• Hourly pay starting at $50–$100+, with bonus rates on select projects.
• Payments made via PayPal.