Data Scientist - AI Trainer

DataAnnotation; Beaverton (OR); Remote; USD 69,000 - 138,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Competitive pay

Impact

Job summary

DataAnnotation is seeking a Data Scientist - AI Trainer to support AI training by assessing quantitative model outputs, building benchmarking problems, and providing feedback to improve AI reasoning on data and scientific questions. This contract role offers flexible scheduling and hourly pay of $50 to $100 USD.

You will evaluate outputs for accuracy, develop training tasks, and help shape models through documented, reproducible analytics. Strong coding and fluent English are required.

Qualifications

• 3+ years in a quantitative role or research environment.
• Coding experience; comfortable writing and reviewing analytical code end-to-end.
• Experience with statistical methods, predictive modeling, and experimental design (A/B testing, hypothesis testing).
• Fluency in English with strong writing skills.
• Bachelor's degree in a quantitative field; advanced degrees a plus.

Responsibilities

• Review and evaluate AI-generated quantitative work for technical accuracy and real-world validity.
• Develop quantitative problems to train and benchmark AI systems across forecasting, analysis, optimization, and inference.
• Produce clear analytical explanations and maintain well-documented code.
• Provide feedback to inform iterative updates to AI models for quantitative reasoning and data analytics.

Skills

Quantitative analysis

Python/R coding

English fluency

Statistical methods

Education

Bachelor's in quantitative field

Master's or PhD preferred

Tools

Python

R

SQL

Job description

Work fully remote and set your own pace. DataAnnotation is seeking an existing Data Scientist - AI Trainer to support AI training by assessing quantitative model outputs, building and solving benchmarking problems, and providing clear feedback that helps AI systems reason about data and scientific questions. This is a contract role with flexible scheduling and hourly pay of $50 to $100 USD, with bonus rates available on some projects. Payment is made via PayPal.

In this role, your work directly supports the next generation of AI tools designed for quantitative reasoning. You will evaluate technical outputs for accuracy and real-world validity, and help shape how models learn from data, experiments, and analytical tasks.

Responsibilities

• Review and 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.
• Develop quantitative problems that are used to train and benchmark AI systems, covering topics such as forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical explanations and maintain well-documented analytical code.
• Provide feedback that informs iterative updates to AI models built for quantitative reasoning and data analytics.

Requirements

• 3+ 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 a related field).
• Some coding experience, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with 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) 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.

Benefits

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

Important notes: Payment is made via PayPal. DataAnnotation will never ask for any money. This job is only available to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand.