Senior Data Scientist - AI Trainer

DataAnnotation is recruiting an existing Senior Data Scientist - AI Trainer to support the training of AI models through evaluation of AI-generated quantitative work. This contract role focuses on assessing accuracy and real-world validity, then providing feedback that improves how AI systems reason about data and scientific problems.

Role overview

As an AI Trainer, you will review quantitative outputs created by AI systems, including analytical reasoning and modeling results. Your feedback will be used to refine the next generation of models that perform quantitative reasoning, forecasting, experimental analysis, optimization, and statistical inference.

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, with a focus on technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, across areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and produce 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, including data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a closely related field.
• Some coding experience is required, including comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design, including examples such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Fluency in English (native or bilingual) with 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 ranking or AWS/GCP ML certifications, or equivalent demonstrated expertise.

Technologies

• Kaggle
• AWS
• GCP
• PayPal

Compensation and work details

• Location: Arizona (remote)
• Job type: contract
• Pay: projects are paid hourly at USD 50 to 100 per hour, with bonus rates available on some projects.
• Schedule: flexible, with the ability to choose which projects to take on and when you work.
• Assessment: paid hourly work is available after a short assessment.

Benefits

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: choose project availability and timing; work is performed on your own computer.
• Impact: contribute to AI systems built to reason about data and analytics.

Additional information

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