Senior Data Scientist - AI Trainer

Help train AI models by reviewing quantitative work, building benchmark problems, and delivering feedback that improves future quantitative reasoning systems.

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, covering areas such as 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.

Requirements

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

Technologies

• PayPal
• AWS
• GCP

Contract Details

• Job type: contract
• Location: Arkansas (remote)
• Work availability: hourly paid projects with flexible scheduling
• Compensation: $50–$100 USD per hour (bonus rates available on some projects)

Benefits

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: choose which projects to take on and when to work, on your own computer.
• Competitive pay: hourly projects at $50 to $100 USD per hour, with bonus rates available on some projects.
• Impact: help shape AI systems built to reason about data and analytics.

Notes

• Payment is made via PayPal.
• They will never ask for any money from you.
• This role is only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.