Analytics Engineer - AI Trainer

DataAnnotation seeks an Analytics Engineer - AI Trainer for a remote contract role based in Menlo Park, CA. The position centers on helping train AI models by assessing quantitative outputs, crafting problems for training and benchmarking, and delivering feedback that improves AI systems designed for quantitative reasoning.

Responsibilities

• Assess AI generated quantitative work across statistical analysis, predictive modeling, scientific reasoning, and data-driven insights to verify technical accuracy and real-world validity.
• Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and maintain well-documented analytical code.
• Provide feedback that informs 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 related fields.
• Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
• Fluency in English (native or bilingual level) with strong writing skills.
• A bachelor's degree in a quantitative field is preferred; an advanced degree (Master’s or PhD) is a plus.
• Relevant credentials are a plus (for example, Kaggle competition ranking, AWS or 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 undertake and when you work, using your own computer from home.
• Competitive pay: hourly rates of USD 50 to 100, with bonus rates available on some projects.
• Impact: contribute to shaping AI systems that reason about data and analytics.

Note

Payment is processed via PayPal. We will not ask for money from applicants. This position is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.