Remote Analytics Engineer & AI Trainer for Quant Reasoning

DataAnnotation; Austin (TX); On-site; USD 69,000 - 138,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Hourly pay USD 50 - 100

Job summary

DataAnnotation offers a fully remote Analytics Engineer - AI Trainer role with flexible scheduling, enabling you to work from anywhere while influencing AI systems built for quantitative reasoning. Based remotely in Austin, TX, this position welcomes candidates from the US, Canada, UK, Ireland, Australia, and New Zealand.

Responsibilities include assessing AI-generated outputs, designing numerical problems to train AI models, and maintaining well-documented analytic code.

Qualifications

• 2+ years in a quantitative role or research environment.
• Some coding experience with end-to-end analytical code.
• Experience with statistical methods, predictive modeling, and experimental design.

Responsibilities

• Assess AI-generated outputs across statistics, predictive modeling, and scientific reasoning.
• Design and solve quantitative problems to train and benchmark AI systems.
• Produce clear, well-documented analytical code.
• Provide feedback to shape future AI models.

Skills

Quantitative analysis

Analytical coding

English writing

Communication

Education

Bachelor's degree in a quantitative field

Master's or PhD (plus)

Tools

Python

R

SQL

Job description

DataAnnotation offers a fully remote Analytics Engineer - AI Trainer role with flexible scheduling, enabling you to work from anywhere while influencing AI systems built for quantitative reasoning. Based remotely in Austin, TX, this position welcomes candidates from the US, Canada, UK, Ireland, Australia, and New Zealand.

Responsibilities include assessing AI-generated outputs, designing numerical problems to train AI models, and maintaining well-documented analytic code.