Finance Domain AI Evaluator / AI Quality Analyst | Pakistan
Posted 20 days ago
About Volga Partners
Volga Partners is a U.S.-based company supporting leading technology organizations with Artificial Intelligence and machine learning initiatives. We specialize in large-scale language data operations and quality programs across global markets.
About the Role
We are seeking experienced Finance professionals with strong analytical abilities and attention to detail to support AI model evaluation and quality improvement initiatives.
In this role, you will apply your finance expertise to assess the performance of advanced Large Language Models (LLMs) by creating realistic finance-related scenarios, developing expert reference answers, and evaluating AI-generated responses against defined quality standards.
The ideal candidate understands financial concepts, can critically evaluate complex information, and is interested in contributing to the development of next-generation AI technologies.
Key Responsibilities
- Engagement Type: Retainer-based
- Work Schedule: 8 hours per day, 40 hours per week
- Project Duration: Expected to continue through the end of the year, subject to business needs and project requirements
- Start Date: ASAP
- Time Zone Requirement: Must be available to work starting from 12:00 AM PST onwards
- Language Requirement: Fluent English (written and verbal)
- Project Type: AI Evaluation and Quality Assurance for Finance-related Large Language Models (LLMs)
Key Responsibilities
Finance Content Development & Task Creation
- Create realistic, finance-focused prompts and scenarios that reflect real-world professional challenges.
- Develop tasks across areas such as:
- Financial Analysis
- Corporate Finance
- Accounting & Financial Reporting
- Investment Analysis
- Equity Research
- Banking & Financial Services
- Risk Management
- Financial Planning & Forecasting
- Valuation and Financial Modeling
- Ensure tasks accurately represent professional finance workflows and decision-making processes.
Expert Answer Creation
- Develop high-quality reference answers that demonstrate professional finance expertise.
- Provide clear reasoning, calculations, assumptions, and conclusions where applicable.
- Ensure reference answers meet accuracy, completeness, and industry standards.
AI Response Evaluation
- Review and evaluate AI-generated responses from advanced Large Language Models (LLMs) using finance expertise and structured evaluation criteria.
- Analyze model outputs to determine accuracy, quality, relevance, and alignment with professional finance standards.
- Assess responses across key dimensions, including:
- Financial accuracy and correctness
- Finance domain knowledge and application
- Logical reasoning and problem-solving approach
- Completeness and depth of analysis
- Compliance with task instructions and requirements
- Practical applicability in real-world finance scenarios
- Clarity, structure, and communication quality
- Identify factual errors, flawed assumptions, missing details, inconsistencies, and opportunities for improvement.
- Provide detailed feedback and insights to support AI model evaluation, benchmarking, and continuous improvement initiatives.
Quality Assessment & Benchmarking
- Apply structured evaluation criteria and scoring frameworks consistently.
- Provide detailed feedback supporting evaluation results.
- Compare AI model outputs and identify performance trends, strengths, and limitations.
- Support benchmarking efforts to improve AI model reliability and effectiveness.
Required Qualifications
- Bachelor's degree or higher in Finance, Accounting, Economics, Business Administration, Banking, Investment Management, or a related field.
- Professional experience in finance, accounting, investment banking, corporate finance, equity research, auditing, or related areas.
- Strong understanding of financial concepts, terminology, valuation methodologies, and analytical frameworks.
- Ability to analyze and evaluate complex financial information.
- Strong attention to detail and ability to maintain consistency in quality assessments.
- Excellent written and verbal English communication skills.
- Ability to follow structured guidelines, evaluation frameworks, and quality standards.
- Comfortable working independently in a task-based environment.
- Availability to commit to a full-time schedule of 40 hours per week.
Preferred Qualifications
- Experience in Investment Banking, Equity Research, Financial Modeling, Valuation, Corporate Finance, M&A, or Capital Markets.
- CFA Charterholder or CFA Candidate actively pursuing the CFA designation.
- Experience in financial modeling, valuation, investment research, auditing, risk analysis, or corporate finance.
- Familiarity with Generative AI, Large Language Models (LLMs), or AI-powered tools.
- Previous experience in quality assurance, content evaluation, annotation, auditing, or benchmarking projects.
- Experience developing assessment frameworks, scoring rubrics, or evaluation criteria.
- Professional certifications such as CFA, ACCA, CPA, CMA, FRM, CFP, or CA.
Compensation
PKR 650 per hour
Requirements
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Volga Partners is a global leader in generative AI (GenAI) innovation, building and deploying advanced AI solutions that power real-world business transformation. We design intelligent systems, custom large language model (LLM) applications, and next-generation automation that help organizations operate smarter, faster, and more efficiently. Our mission is to make GenAI practical, scalable, and impactful. We go beyond implementation—specializing in refining and enhancing LLMs with exceptional accuracy across high-value professional domains including finance, healthcare, legal, and technology. By tailoring models for specific use cases, we enable our partners to achieve measurable outcomes and unlock new growth opportunities. With a global workforce of 3,000+ professionals across multiple countries, Volga Partners brings together diverse perspectives, cultures, and expertise. This diversity fuels innovation and allows us to deliver solutions that are both globally relevant and locally meaningful.
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