AI Training & Growth Analyst — Remote & Flexible

DataAnnotation; United States; Remote; USD 69,000 - 138,000; Part time

Benefits offered by this job

Flexible schedule

Remote work from home

PayPal payments

Job summary

DataAnnotation is seeking a quantitative professional to help train AI models. You will evaluate AI-generated quantitative analyses, solve technical problems, and provide feedback that directly shapes how these systems reason about data, models, and scientific problems.

Some team members fit this work alongside a full‑time role, while others treat it as their primary focus. To get started, once you sign up for an account, you\'ll take a short assessment.

Qualifications

• 3+ years of hands-on experience in a quantitative role or research environment.
• Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design (e.g., 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 preferred; an advanced degree is a plus.
• Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications).

Responsibilities

• Evaluate 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, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and well‑documented analytical code.
• Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Skills

Quantitative experience

Coding experience

Statistical methods

English writing

Education

Bachelor's in quantitative field

Advanced degree (Master's or PhD) a plus

Job description

DataAnnotation is seeking a quantitative professional to help train AI models. You will evaluate AI-generated quantitative analyses, solve technical problems, and provide feedback that directly shapes how these systems reason about data, models, and scientific problems.

Some team members fit this work alongside a full‑time role, while others treat it as their primary focus. To get started, once you sign up for an account, you\'ll take a short assessment.