Job Title: AI Trainer – Actuaries (APAC/MEA)
Industry:
Artificial Intelligence (AI) | Actuarial Science | Insurance | Financial Services
Location:
Remote (APAC & Middle East/Africa)
Eligible Locations:
Bangladesh, India, Indonesia, Pakistan, Vietnam, Egypt, Ghana, Kenya, Nigeria, Turkey
Employment Type:
Short-Term Contract (9 Weeks)
Work Schedule:
Minimum of 4 hours per day (up to 40 hours per week) with at least 4 hours overlap with Pacific Standard Time (PST)
Compensation:
34/hr USD
Client Overview
Our client is a rapidly growing global technology organization specializing in the development of advanced artificial intelligence solutions for enterprise and research applications. The company collaborates with experienced professionals across diverse industries to enhance AI capabilities in analytical reasoning, decision-making, and domain-specific problem solving.
By combining human expertise with cutting-edge AI technologies, the organization develops intelligent systems capable of delivering accurate, practical, and data-driven insights across complex business environments. Operating with a globally distributed workforce, the company offers professionals the opportunity to contribute to innovative AI initiatives while working remotely in a flexible and collaborative setting.
Role Overview
Our client is seeking experienced Actuarial Professionals to support the development and training of advanced Artificial Intelligence systems. In this role, you will create, evaluate, and refine realistic actuarial scenarios involving risk assessment, pricing, reserving, forecasting, profitability analysis, and financial modelling.
Leveraging your actuarial expertise, you will ensure AI-generated outputs are technically accurate, methodologically sound, and aligned with professional actuarial standards and real-world insurance and financial services practices.
Key Responsibilities
AI Training & Actuarial Content Development
Develop realistic actuarial tasks covering insurance, pensions, healthcare, consulting, and financial services applications.
Create technically accurate scenarios involving pricing, reserving, forecasting, profitability analysis, and risk modelling.
Produce detailed actuarial solutions supported by appropriate assumptions, methodologies, calculations, and professional conclusions.
Ensure all actuarial content reflects current industry practices and accepted professional standards.
Risk Analysis & Model Evaluation
Review AI-generated actuarial outputs for technical accuracy, logical consistency, and practical application.
Validate assumptions, reserve calculations, pricing methodologies, and financial projections.
Assess AI-generated responses involving actuarial modelling, loss development, and reserve adequacy.
Improve AI outputs by incorporating sound actuarial judgment and industry best practices.
Quality Assurance & Technical Validation
Ensure actuarial content complies with established actuarial principles and professional methodologies.
Identify inconsistencies, modelling errors, unsupported assumptions, and calculation inaccuracies.
Refine AI-generated content to improve clarity, reliability, and technical precision.
Maintain consistently high standards of quality across all assigned deliverables.
Collaboration & Continuous Improvement
Collaborate with senior reviewers and actuarial subject matter experts.
Apply calibration feedback to improve the consistency and quality of assigned work.
Support the continuous enhancement of AI performance through the creation of high-quality actuarial training data.
Deliver assignments within agreed timelines while maintaining quality expectations.
Requirements
Education
Bachelor's Degree or equivalent practical experience in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative discipline.
Professional Experience
3–8 years of professional actuarial experience within:
Insurance
Actuarial Consulting
Pensions
Healthcare
Financial Services
Demonstrated experience in:
Actuarial Reserving
Pricing
Risk Assessment
Forecasting
Financial Modelling
Profitability Analysis
Professional Qualifications
Progress toward a recognized actuarial qualification with multiple examinations successfully completed through one or more of the following professional bodies:
Society of Actuaries (SOA)
Casualty Actuarial Society (CAS)
Institute and Faculty of Actuaries (IFoA)
Equivalent regional actuarial professional body
Core Competencies
Actuarial Reserving
Pricing & Product Development
Risk Modelling
Financial Modelling
Forecasting
Profitability Analysis
Loss Development Analysis
Reserve Adequacy Assessment
Statistical Analysis
Quantitative Modelling
Insurance Risk Management
Analytical Thinking
Data Interpretation
Technical Accuracy
Problem Solving
Written Communication
Attention to Detail
Preferred Qualifications
Experience in AI evaluation, data annotation, content review, or quality assurance is an advantage but not required.
Strong understanding of insurance products, actuarial methodologies, and financial risk management.
Ability to communicate complex actuarial concepts in a clear and structured manner.
Experience developing or reviewing actuarial reports, pricing models, or reserve analyses.