Insurance Agent AI Trainer, $65/hour

LinkedIn

LinkedIn

Software Engineering, Data Science

United States

USD 65-65 / hour

Posted on Jun 5, 2026
Project Overview

Join a growing community of professionals advancing the next wave of AI. As an AI Trainer, you’ll play a hands-on role by analyzing and providing feedback on data to improve LLM performance, helping ensure that the next generation of AI technology is accurate and trustworthy.

We are seeking a skilled Insurance Agent to work as a project consultant in our AI Labor Marketplace. This is not a full-time employment position — you will be engaged as an expert project consultant on a contract basis.

Location: U.S.-based experts only

Engagement: Part-time, project-based expert evaluation work

Work Type: Remote

CareerBench evaluates how effectively AI systems provide career guidance across professional occupations. We are seeking experienced Insurance Agents to evaluate AI-generated career guidance related to insurance sales, agency development, licensing requirements, client relationship management, specialization opportunities, and long-term advancement within the insurance industry. Contributors will assess whether AI-generated recommendations accurately reflect professional realities and career pathways in insurance.

This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).

Responsibilities

Contributors will:

  • Create benchmark answers for insurance career-related questions
  • Develop profession-specific evaluation rubrics
  • Assess AI-generated guidance concerning insurance licensing and professional development
  • Review recommendations involving agency growth, client acquisition, and retention
  • Evaluate advice related to specialization in life, health, property, casualty, or commercial insurance
  • Identify inaccurate or impractical career recommendations
  • Provide written rationale supporting evaluation decisions
Expected Outcomes
  • Accurate benchmark responses reflecting insurance industry practices
  • Consistent evaluation frameworks for insurance career guidance
  • Reliable scoring of AI-generated responses
  • Identification of licensing, compliance, and career-development inaccuracies
  • High-quality expert feedback supporting model improvement
Qualifications
  • Minimum 3 years of professional insurance experience
  • Active insurance license strongly preferred
  • Experience in sales, servicing, underwriting support, or agency operations
  • Familiarity with insurance career progression and licensing pathways
  • Strong written communication and analytical skills
  • Ability to evaluate professional guidance objectively
  • U.S.-based

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