Life Insurance AI Evaluation Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting and contracting for this role, giving experienced professionals a way to apply their expertise to the development of cutting-edge AI systems.

• Create a profile and apply in minutes
• Build a lasting portfolio of AI training experience
• Work remotely on projects that match your professional knowledge

About AI Training Work

AI training is the human side of building modern artificial intelligence. Specialists prepare examples, write strong reference answers, and review model outputs so AI systems become more accurate, useful, and reliable in real-world situations.

In this role, your life and annuity insurance judgment will help models reason through advisory, underwriting, product, and policy-service scenarios with greater accuracy and care.

• Contribute to the development of frontier AI models
• Use professional expertise rather than generic data-entry skills
• Work remotely with a flexible contract schedule

The Role

OpenTrain is seeking a Life and Annuity Insurance AI Evaluation Specialist to develop high-quality insurance reasoning data. You will design realistic cases, write practitioner-quality reference responses, and assess AI outputs against standards for suitability, product accuracy, mathematical correctness, and disclosure adequacy.

The work requires clear explanations of life insurance and annuity decisions, including the ability to distinguish product and suitability judgment from formal investment, tax, or legal advice.

• Contract opportunity with at least 20 hours per week expected
• 40 or more hours per week is preferred
• Remote work available in the listed eligible countries
• Ongoing rate of $80 per hour after onboarding
• Successful onboarding includes a flat $800 payment

What You’ll Do

You will create and review detailed scenarios that reflect realistic life insurance and annuity practice. Your written feedback will identify errors and help improve model behavior and reasoning quality.

• Design cases involving needs analysis, product selection, illustrations, and medical or financial underwriting
• Address table ratings, replacements, 1035 exchanges, policy loans, surrenders, lapse, and reinstatement
• Create coverage recommendations, illustration comparisons, underwriting assessments, and suitability rationales
• Write reference responses reflecting experienced practitioner judgment
• Evaluate AI outputs for product accuracy, suitability, mathematical correctness, and disclosure adequacy
• Identify unsupported illustration assumptions and unsuitable recommendations
• Spot product confusion, tax-treatment confusion, and failures to apply replacement or disclosure requirements
• Provide clear written feedback that improves model reasoning

Required Experience and Skills

Applicants should have at least two years of professional experience in life insurance or annuity advisory, underwriting, new business, policy administration, product, or suitability review. Strong written communication, quantitative accuracy, and attention to detail are essential.

• Working knowledge of at least one product family, such as term, whole life, universal life, indexed universal life, or fixed, indexed, and variable annuities
• Ability to explain cost of insurance, crediting methods, caps, participation rates, surrender charges, riders, guarantees, and tax treatment
• Ability to assess suitability, replacement considerations, disclosure adequacy, and tax-treatment distinctions
• Quantitative accuracy when comparing illustrations and evaluating policy outcomes
• Clear reasoning that separates product judgment from formal investment, tax, or legal advice

Helpful Professional Background

The following experience can strengthen an application, particularly when it involves detailed product analysis, case review, or regulatory and disclosure considerations.

• CLU, ChFC, FLMI, or CFP designation
• Life and health producer license or securities registration
• Underwriting experience, including APS or laboratory-result review
• Reinsurance referral experience
• Familiarity with Reg BI or replacement and disclosure review
• Experience with buy-sell, key-person, estate-planning, premium-finance, or executive-benefit cases

Location and Application Details

This remote contract opportunity is open to candidates in the United States, Canada, the United Kingdom, Australia, New Zealand, Ireland, Malta, the Netherlands, Sweden, Denmark, Norway, Finland, Germany, Austria, and Belgium. The project requires English-language work and a commitment of at least 20 hours per week.

Create your free OpenTrain account to present your professional background, apply for the opportunity, and continue building a career in AI training.

• Languages: English
• Engagement: Contractor and part time
• Minimum commitment: 20+ hours per week
• Pay: $80 per hour after onboarding
• Onboarding payment: $800 upon successful completion