Actuary

Overview

Models reach for an actuarial answer and fumble the long-tail math: a reserve that ignores development, mortality assumptions applied to the wrong cohort, discounting that quietly breaks the present value. Someone has to make the assumptions and the arithmetic hold across decades, and that someone is you.

As an Actuary you'll evaluate AI-built risk models and pricing, check the assumptions and the methods, and write the judgments that teach models what actuarial rigor demands.

What you’ll actually do

• Evaluate AI actuarial work: reserving, pricing, and the assumptions driving each.
• Check the methods: development factors, mortality and morbidity tables, discounting, and stochastic modeling.
• Write the sound analysis when the model falls short, with assumptions documented and defensible.

Roles this fits

Common backgrounds: Actuary, Actuarial Analyst, Pricing Actuary.

What we look for

• Actuarial experience or exam progress across life, health, P&C, or pensions.
• Fluency with probability, statistics, and actuarial methods.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

How it works

Apply

Qualify

Work & get paid

Compensation

Up to $75 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.