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Forensic Auditing Subject Matter Expert | AI Evaluation Specialist (On-Call)

Volga Partners
CompanyVolga Partners
CategoryData & Analytics
LocationPakistan
RemoteRemote
EmploymentTemporary
LevelSenior
SalaryNot stated by the employer
Posted13 Jul 2026
Last verified12 Aug 2026
SourceEmployer ATS (workable)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Location:  India/Pakistan (Remote)  Compensation:  $5.00–$9.00 USD per hour (depending on experience and qualifications) Help Shape the Future of AI in Finance  Volga Partners is seeking experienced claims auditing professionals to join a specialized AI initiative supporting the development, training, and evaluation of next-generation financial and insurance reasoning models. If you have a strong background in insurance claims auditing, medical claims review, workers’ compensation, property & casualty claims, or fraud detection , this opportunity allows you to apply your expertise in a unique and innovative way while working remotely and earning competitive project-based compensation. This is an excellent opportunity for professionals seeking flexible contract work, supplemental income, consulting experience, or exposure to cutting-edge AI technologies.  Employment Type  Temporary Contract Assignment  This is an on-call, project-based contract opportunity supporting ongoing AI training and evaluation initiatives. Candidates selected for this opportunity will become part of Volga Partners' on-call network of subject matter experts. As client projects become available, qualified contributors will be invited to participate based on project requirements, expertise, availability, and performance. Please note this is not a permanent employment position and does not include company-sponsored benefits, paid leave, holiday pay, or guaranteed minimum hours. Areas of Expertise  We are currently seeking professionals with experience in one or more of the following disciplines:  Forensic Auditing Forensic Accounting Fraud Investigations Financial Investigations Internal Controls Audit Procedures Regulatory Compliance What You Will Do  Create and review finance-related prompts, scenarios, and analytical tasks.  Evaluate AI-generated responses for financial accuracy, reasoning quality, and business relevance.  Apply subject matter expertise to improve model performance and financial understanding.  Review financial analyses, assumptions, calculations, and recommendations.  Identify inaccuracies, inconsistencies, and areas for improvement.  Provide structured feedback and quality assessments.  Collaborate with project teams to maintain high-quality deliverables.  Meet established project timelines and productivity goals.  Qualifications  Required  Bachelor's degree in Finance, Accounting, Economics, Business, Mathematics, Statistics, Law, Insurance, Risk Management, or a related field. Minimum 4 years of professional experience within one or more of the listed finance, audit, insurance, compliance, legal, or risk disciplines. Strong analytical and critical-thinking skills. Excellent written English communication skills. Ability to evaluate complex business, financial, audit, compliance, insurance, or legal concepts and clearly explain your reasoning. Reliable internet connection. Ability to work independently in a remote environment. Preferred  CFA Charterholder or CFA Candidate ACCA, ACA, CMA, MBA Finance, M.Com, or similar credentials such as CIA, CISA or JD Experience in financial modeling, valuation, forecasting, budgeting, investment analysis, or quantitative research.  Experience reviewing technical content, research, or analytical reports.  Exposure to AI, machine learning, data annotation, or model evaluation projects is a plus.  Selection Process Qualified candidates may be invited to complete a brief project-specific assessment or trial task designed to evaluate their subject matter expertise and analytical reasoning. Successful completion of the assessment may qualify candidates for active paid project assignments. Candidates who are not selected for a p