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P&C Insurance Professionals: Paid AI Training Project

Role overview

Summary

This role focuses on training AI models by leveraging your expertise in P&C insurance and reinsurance. You will document and structure complex workflows to enhance AI understanding of industry practices, contributing to the development of advanced AI systems at Terac.

Qualifications

  • Professional experience in P&C insurance or reinsurance.
  • Hands-on background in underwriting, pricing, reserving, or claims.
  • Comfortable breaking down complex industry workflows into clear steps.
  • Availability to dedicate 20+ hours per week to the project.

Responsibilities

  • Translate real-world insurance scenarios into structured training tasks
  • Document complex underwriting, pricing, and claims workflows
  • Review and validate AI-generated outputs for accuracy
  • Commit 20+ hours per week to remote project work

Key facts

  • Remote from: United States
  • Fixed term
  • AI Trainer
  • $192K / year
  • English

Hard skills

Other skills

  • Detail Oriented
  • Analytical Thinking
  • Problem Solving

About the company

Terac logo

Terac

  • Market Research
  • 11–50
Terac is an AI‑native research platform that sources participants, conducts human‑like interviews at scale, analyzes results, and pays out participants - delivering actionable insights in hours, not weeks. Product teams use Terac to run voice, video, and text interviews, concept and usability tests, and to build a living research repository they can query anytime. Our in‑house participant panel, quality controls, and self‑serve workflow mean faster cycles, higher‑quality participants, and insights that move the roadmap now, not next quarter.

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Job description

What We're Researching

We're hiring P&C insurance and reinsurance professionals to help train the next generation of artificial intelligence models. This paid project focuses on capturing the complex decision-making processes involved in underwriting, pricing, and claims management. Your expertise will directly shape how AI systems understand and process specialized insurance workflows.

How It Works

You will turn real-world insurance scenarios into structured tasks used to train and test AI models. This involves documenting your approach to underwriting, reserving, or reinsurance work in a remote format. You will dedicate 20+ hours per week to creating and reviewing these specialized datasets. The work requires deep domain knowledge to ensure the AI learns accurate industry practices.

Who This Is For

We welcome property and casualty insurance professionals, reinsurance specialists, underwriters, and claims adjusters. You should have hands-on experience managing complex insurance workflows and a strong understanding of industry standards. Candidates with backgrounds in pricing, reserving, or risk assessment are highly encouraged to apply.

What You'll Do

  • Translate real-world insurance scenarios into structured training tasks

  • Document complex underwriting, pricing, and claims workflows

  • Review and validate AI-generated outputs for accuracy

  • Commit 20+ hours per week to remote project work

Who Should Apply

  • Professional experience in P&C insurance or reinsurance

  • Hands-on background in underwriting, pricing, reserving, or claims

  • Comfortable breaking down complex industry workflows into clear steps

  • Availability to dedicate 20+ hours per week to the project

Compensation

$100 per hour

 

Ready to participate?

Start your paid interview now

 

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

 

Learn more at terac.com or on YouTube at @jointerac.

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