Remote AI Quantitative Evaluator: Shape Future Models

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

Job summary

DataAnnotation is seeking a quantitative professional to help train AI models. You will evaluate AI-generated analyses, solve technical problems, and provide feedback that shapes how systems reason about data, models, and scientific problems. Background in data science, physics, economics, biostatistics, OR, or other quantitative fields is welcome.

Some work may fit alongside another role. To get started, sign up for an account and take a short assessment; upon passing, you will receive email

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 (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master's or PhD) is a plus
• Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise)

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 analysis

Data science

Statistical methods

Programming

Education

Bachelor's degree in a quantitative field

Master's or PhD (preferred)

Tools

Python

R

SQL

AWS

GCP

Job description

DataAnnotation is seeking a quantitative professional to help train AI models. You will evaluate AI-generated analyses, solve technical problems, and provide feedback that shapes how systems reason about data, models, and scientific problems. Background in data science, physics, economics, biostatistics, OR, or other quantitative fields is welcome.

Some work may fit alongside another role. To get started, sign up for an account and take a short assessment; upon passing, you will receive email