Machine Learning Engineer - AI Trainer

DataAnnotation is seeking an experienced Machine Learning Engineer - AI Trainer to evaluate and help train AI systems focused on quantitative reasoning and analytical tasks. This position is fully remote, with paid hourly work and scheduling flexibility.

Role Overview

You will assess AI-generated quantitative outputs for both technical correctness and real-world usefulness. The work also includes designing quantitative problem sets that support training and benchmarking of AI systems across forecasting, experimental analysis, optimization, and statistical inference.

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring technical accuracy and practical validity.
• Design and solve quantitative problems used to train and benchmark AI systems, covering areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and maintain well-documented analytical code.
• Deliver feedback that informs the development of next-generation AI models for quantitative reasoning.

Requirements

• 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.
• Some coding experience, 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), 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 evidence of expertise.

Technologies

• PayPal
• AWS
• GCP
• Kaggle

Compensation and Schedule

• Location: New York, NY (remote)
• Salary: USD 50 - 100 per hourly
• Work type: paid hourly (projects paid hourly, up to $60 USD per hour)
• Schedule: flexible schedule, with choice of which projects you take on and when you work

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: hourly projects, up to $60 USD per hour.
• Growth potential: opportunities for higher-paying projects with strong performance.
• Impact: contribute to AI systems built to reason about data and analytics.

Additional Notes

• Payment is made via PayPal.
• They will never ask for any money from applicants.
• The role is available only to applicants in the US, Canada, UK, Ireland, Australia, and New Zealand.