Job Opportunities API

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&nbs