Data Scientist - AI Trainer

DataAnnotation is seeking an experienced Data Scientist - AI Trainer to evaluate and benchmark AI systems focused on quantitative reasoning and real-world validity. The role combines technical assessment, problem design for training and benchmarking, and clear documentation that informs the next iteration of models.

Key Responsibilities

• Assess 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 across areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical explanations and maintain well-documented analytical code.
• Deliver feedback that directly supports and shapes future AI models for quantitative reasoning.

Required Qualifications

• 2+ 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 a closely related field.
• Coding experience required, with 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) 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 ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise.

Compensation and Work Details

The position is remote within the following regions: United States, Canada, UK, Ireland, Australia, and New Zealand. Pay is project-based and hourly, with a stated range of USD 50 to 100 per hour. Higher-paying opportunities may be available based on strong performance.

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 the potential for higher-paying projects with strong performance).
• Impact: contribute to how AI systems reason about data and analytics.

Additional Notes

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