Senior Data Scientist - AI Trainer

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and well-documented analytical code.
• Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

• 3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
• Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
• Fluency in English (native or bilingual level) with strong writing skills.
• A bachelor's degree in a quantitative field preferred; an advanced degree (Master’s or PhD) a plus.
• Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Technologies

• Kaggle
• AWS
• GCP

Benefits

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: select projects and work on your own terms from your home.
• Competitive pay: hourly rates from 50 to 100 USD, with potential bonus rates on certain projects.
• Impact: contribute to the development of AI systems designed to reason about data and analytics.

Note

Payment is made via PayPal. We will never ask for money from you. This role is open to contractors located in the US, Canada, UK, Ireland, Australia, and New Zealand.