Job Openings Remote | Senior Insurance & Underwriting Evaluation Specialist — $55–$75/hour

About the job Remote | Senior Insurance & Underwriting Evaluation Specialist — $55–$75/hour

We are sharing a specialised full-time consulting opportunity for US-based insurance professionals with deep experience in underwriting, claims, actuarial analysis, risk management, and structured evaluation of AI-generated outputs.

This role supports a high-impact generative AI initiative focused on improving how advanced models reason through real-world insurance scenarios. Selected professionals will design rigorous domain-specific tasks, evaluate model outputs against structured criteria, develop scoring frameworks, and provide practical feedback grounded in senior-level underwriting, claims, and risk-assessment experience.

Key Responsibilities

Insurance Domain Guidance

  • Guide research and engineering teams on underwriting, claims, actuarial analysis, policy interpretation, and risk-assessment concepts
  • Identify gaps in model understanding across coverage decisions, loss evaluation, pricing, claims handling, and insurance operations
  • Apply practical insurance judgment to complex scenarios involving policyholders, exposures, financial risk, and regulatory considerations
  • Ensure insurance tasks reflect realistic professional decisions and industry standards

Insurance Task & Solution Development

  • Design challenging, domain-relevant tasks grounded in real underwriting, claims, actuarial, or risk-management practice
  • Write accurate, well-reasoned solutions covering insurance analysis and decision-making scenarios
  • Develop problems requiring technical judgment, risk evaluation, policy interpretation, and assessment of competing considerations
  • Ensure tasks are clear, internally consistent, and suitable for structured evaluation

AI Output Evaluation

  • Evaluate AI-generated insurance responses against established rubrics and scoring criteria
  • Assess correctness, professional judgment, reasoning quality, relevance, and practical applicability
  • Compare alternative outputs and determine which response provides the stronger insurance analysis
  • Identify factual errors, unsupported assumptions, weak risk reasoning, and incomplete conclusions
  • Provide clear written feedback that supports improvements in model behaviour

Rubric Development & Quality Calibration

  • Develop and refine evaluation guidelines for underwriting, claims, actuarial, and risk-management tasks
  • Define scoring criteria covering technical accuracy, professional judgment, reasoning, and decision quality
  • Participate in calibration activities with other insurance specialists
  • Collaborate across teams to maintain consistency and accuracy throughout the training data

Ideal Profile

Strong candidates may have:

  • At least 8 years of dedicated professional experience in insurance
  • Senior-level expertise in underwriting, claims, actuarial work, risk management, or a related area
  • Experience working within a recognised insurer, broker, consultancy, financial-services organisation, or comparable institution
  • Prior hands-on experience evaluating LLM or AI-generated outputs using structured rubrics or scoring criteria
  • Demonstrable career progression into senior, management, director, vice president, or comparable leadership responsibilities
  • Strong professional judgment and the ability to assess complex insurance decisions
  • Excellent written and verbal communication skills
  • Reliable availability for at least 35 hours per week during weekdays

Educational Background

  • A degree in insurance, actuarial science, finance, economics, mathematics, business administration, risk management, or a related field is highly relevant
  • Graduate-level education in actuarial science, finance, business, analytics, or risk may be helpful
  • Equivalent senior professional experience in underwriting, claims, or insurance operations may also be considered
  • Professional credentials such as CPCU, ACAS, FCAS, ARM, AIC, or comparable qualifications may be valuable

Nice to Have

  • Experience across property and casualty, life, health, commercial, specialty, or reinsurance markets
  • Background in complex underwriting, claims investigation, pricing, reserving, or portfolio risk
  • Experience creating structured scoring rubrics, evaluation guidelines, or quality frameworks
  • Familiarity with model training, human-feedback workflows, annotation, or AI quality assurance
  • Strong understanding of policy language, coverage interpretation, risk selection, and claims decision-making
  • Experience reviewing underwriting files, claims assessments, actuarial analyses, or risk reports
  • Previous collaboration with product, analytics, legal, compliance, research, or technical teams

Why This Opportunity

  • Apply senior insurance expertise to an advanced generative AI initiative
  • Influence how AI systems reason about underwriting, claims, and risk
  • Design and assess challenging insurance problems grounded in practical industry experience
  • Collaborate with technical teams and experienced insurance specialists
  • Join a full-time remote engagement with competitive hourly compensation

Contract Details

  • Full-time W-2 contingent employment arrangement
  • Fully remote role available to candidates based in the United States
  • Expected commitment of at least 35 hours per week during weekdays
  • Competitive rates between $55–$75 per hour depending on expertise and project scope
  • Prior experience evaluating AI or LLM outputs against structured rubrics is required
  • Applicants should clearly describe relevant AI evaluation experience in their application
  • Immediate availability is preferred
  • Work may include onboarding, specialty calibration, task development, and ongoing quality review
  • Project scope and duration may be adjusted according to programme requirements and performance

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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