About The Position

We are sharing a specialised part-time consulting opportunity for professionals experienced in underwriting review, risk assessment documentation, application file analysis, eligibility criteria, financial or insurance records, instruction-based task design, and structured evaluation. This role supports current and upcoming remote consulting opportunities focused on AI-assisted review of underwriting-related documents, forms, tables, decision materials, risk summaries, and related visual content. Selected professionals will create complex evaluation tasks using underwriting-style materials, define clear expected answers, and develop objective rubrics for assessing response accuracy, instruction alignment, and domain understanding.

Requirements

  • Professional experience in underwriting, risk review, insurance operations, lending operations, mortgage review, financial services, compliance support, or related documentation work
  • Strong ability to interpret application files, eligibility criteria, financial records, insurance documents, risk summaries, tables, forms, and decision-support materials
  • Comfort working with precise instructions, objective criteria, and structured evaluation standards
  • Strong written communication skills with the ability to explain task expectations and review decisions clearly
  • High attention to detail when assessing accuracy, completeness, and instruction alignment
  • Ability to work independently in a remote, project-based environment
  • Consistency across repetitive, detail-oriented review and rubric-based evaluation tasks

Nice To Haves

  • Experience creating assessment tasks, training materials, review guides, documentation standards, or structured evaluation rubrics
  • Familiarity with underwriting criteria, risk classification, eligibility review, coverage analysis, loan review, policy documentation, or application processing
  • Experience reviewing financial records, insurance forms, mortgage documents, application files, tables, risk reports, or decision-support materials
  • Comfort identifying ambiguity, missing information, unsupported assumptions, inconsistent risk logic, or interpretation errors
  • Strong ability to design objective criteria for evaluating complex underwriting or risk document reasoning tasks

Responsibilities

  • Create complex tasks based on underwriting files, application materials, risk summaries, eligibility documents, forms, tables, and decision-support records
  • Define clear ground-truth answers, acceptable response criteria, and objective evaluation standards
  • Develop prompts that test underwriting document interpretation, risk reasoning, information extraction, criteria application, and careful instruction following
  • Ensure each task is clearly scoped, realistic, and suitable for structured review workflows
  • Evaluate AI-generated responses involving underwriting records, application files, financial or insurance materials, eligibility tables, forms, and supporting documents
  • Assess whether responses correctly interpret applicant details, risk factors, coverage or eligibility criteria, financial figures, document labels, dates, and task-specific instructions
  • Identify missing details, incorrect interpretations, unsupported assumptions, weak risk reasoning, or inconsistencies in the response
  • Review outputs against objective rubrics and project-specific quality standards
  • Develop clear rubrics that explain expected answers, grading criteria, and acceptable variations
  • Provide structured written feedback on task quality, response accuracy, and evaluation consistency
  • Apply detailed instructions carefully across underwriting, risk review, and document-based evaluation tasks
  • Participate in onboarding, calibration, or domain alignment activities when required

Benefits

  • Competitive rates up to $40 per hour depending on expertise, underwriting background, task quality, and project scope
  • Weekly payments via Stripe or Wise
  • Flexible scheduling
  • Part-time commitment, with an estimated 15–20 hours per week depending on project availability and onboarding status
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