Principal Data Scientist - AI Trainer

DataAnnotation is seeking a Principal Data Scientist - AI Trainer to evaluate and train AI models focused on quantitative reasoning. This fully remote role supports tasks that improve technical accuracy, validation, and real-world performance through benchmarking and feedback loops.

Working on quantitative AI training activities, you will design and assess problems spanning forecasting and experimental analysis, while contributing clear explanations and well-documented analytical code.

What you will do

• Review AI-generated quantitative outputs, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, to confirm technical accuracy and real-world validity.
• Create and solve quantitative problems used to train and benchmark AI systems, covering areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical explanations and maintain well-documented analytical code.
• Share feedback that directly influences the next generation of AI systems built for quantitative reasoning.

What you bring

• 2+ years of hands-on experience in a quantitative role or research environment (for example: data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or an adjacent field).
• Coding experience required, with the ability to write and review analytical code end-to-end.
• Practical experience applying statistical methods, predictive modeling, and experiment design (including A/B testing, hypothesis testing, regression, classification, and time-series forecasting).
• Fluency in English (native or bilingual level) and strong writing skills.
• A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar). A master’s or PhD is a plus.
• Relevant credentials are a plus, such as Kaggle Competition rankings, AWS/GCP ML certifications, or equivalent demonstrated expertise.

Tools and technologies

• Kaggle
• AWS
• GCP
• PayPal

Role details

• Location: Washington, DC (remote)
• Experience: 2 years minimum
• Compensation: USD 50 - 100 per hourly

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.
• Competitive pay: projects are paid hourly, up to $60 USD per hour, with opportunities for higher-paying projects based on strong performance.
• Impact: contribute to AI systems designed to reason about data and analytics.

Additional notes

• Payment is made via PayPal.
• DataAnnotation states it will never ask for money from candidates.
• This job is only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.