Senior Data Scientist - AI Trainer

DataAnnotation; Minnesota; On-site; USD 69,000 - 138,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Competitive pay

Job summary

DataAnnotation seeks an AI Trainer to train and evaluate AI models by reviewing quantitative outputs, creating rigorous training tasks, and delivering actionable feedback. This is a fully remote contract position with hourly compensation and flexible scheduling, paid via PayPal.

The AI Trainer will design qualitative/quantitative problems for training and benchmarking, assess AI-generated work for accuracy, and provide clear explanations and well-documented code.

Qualifications

• 3+ years in a quantitative role or related research environment.
• Some coding experience with end-to-end analytical code.
• Experience with statistical methods, predictive modeling, and experiment design (A/B tests, regression, time-series).
• Fluency in English with strong writing skills.
• Bachelor's degree in a quantitative field; Master’s/PhD a plus.
• Credentials such as Kaggle rankings or cloud certifications are a plus.

Responsibilities

• Evaluate AI-generated quantitative work for accuracy and real-world validity.
• Design and solve quantitative problems to train and benchmark AI systems.
• Produce clear technical explanations and well-documented analytical code.
• Deliver actionable feedback to improve AI models.

Skills

Quantitative analysis

Programming basics

English proficiency

Education

Bachelor's degree in a quantitative field

Master’s or PhD preferred

Tools

Kaggle

AWS

GCP

Job description

The Senior Data Scientist - AI Trainer role supports the training and evaluation of AI models by reviewing quantitative outputs, creating rigorous quantitative tasks, and delivering technical feedback. This is a fully remote contract position with flexible scheduling and hourly compensation.

Role Summary

As an AI Trainer, you will assess AI-generated quantitative work for correctness and real-world validity, develop quantitative problems for training and benchmarking, and provide clear, actionable feedback. Work is paid hourly and performed remotely.

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, focusing on technical accuracy and real-world applicability.
• 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 informs iteration and improves the next generation of AI models focused on quantitative reasoning.

Requirements

• 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 a closely related field.
• Some coding experience, including the ability to write and review 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 level) 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, AWS/GCP ML certifications, or equivalent demonstrated expertise.

Technologies

• English
• Kaggle
• AWS
• GCP

Compensation and Work Model

• Job type: Contract
• Location: Remote (Wyoming)
• Pay: USD 50 to 100 per hour

Benefits

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

Additional Notes

• Payment is made via PayPal.
• No money is requested from candidates.
• This role is available only to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.