Staff Data Scientist - AI Trainer

The Staff Data Scientist - AI Trainer role at DataAnnotation is a contract opportunity based in South Jordan, Utah, with remote work options and flexible scheduling. The position centers on training AI models and validating quantitative outputs using real-world data science experience.

Responsibilities

• Assess AI generated quantitative work for technical accuracy and real-world applicability, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
• Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasts, experimental analyses, optimization, and statistical inference.
• Produce clear technical explanations and well documented analytical code.
• Provide feedback that informs the development of next generation AI models focused on quantitative reasoning.

Requirements

• At least 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 with the ability to write and review analytical code end-to-end.
• Practical knowledge of statistical methods, predictive modeling, and experimental design including A/B testing, hypothesis testing, regression, classification, and time series forecasting.
• Fluency in English with strong writing skills.
• Bachelor's degree in a quantitative field is preferred; a Master’s or PhD is a plus.
• Relevant credentials such as Kaggle rankings or cloud ML certifications are advantageous.

Benefits

• Fully remote: work from anywhere in the United States, Canada, United Kingdom, Ireland, Australia, or New Zealand.
• Flexible schedule: choose projects and working hours, using your own computer from home.
• Competitive pay: hourly rates range from USD 50 to 100, with potential bonus rates on select projects.
• Impact: contribute to shaping AI systems designed to reason about data and analytics.

Note

• Payment is processed via PayPal.
• We will never request money from applicants.
• This opportunity is open to candidates in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.