• Create and review finance, audit, insurance, compliance, and legal-related prompts, scenarios, and analytical tasks. • Evaluate AI-generated responses for factual accuracy, reasoning quality, and business relevance. • Apply your professional expertise to improve AI model performance. • Review analyses, assumptions, calculations, documentation, and recommendations. • Identify inaccuracies, inconsistencies, logical gaps, and opportunities for improvement. • Provide structured written feedback and quality assessments. • Collaborate with project teams to maintain high-quality deliverables. • Meet established productivity, quality, and turnaround expectations.

• 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.

• As a Language AI Solutions Specialist, you will bridge the gap between traditional localization and cutting-edge AI. • You will be responsible for the end-to-end lifecycle of translation systems—from legacy Neural MT to modern LLM-based solutions. • Your mission is to architect, tune, and deploy high-performance language models that drive global scalability while maintaining uncompromising linguistic quality. • Hybrid Engine Deployment: Design, test, and certify Neural MT systems (KantanMT) and fine-tuned LLMs tailored to client-specific domains. • Performance Analytics: Deliver comprehensive quality reports, including Predictive TER scores, MQM-DQF/COMET/G-Eval metrics, and Human-in-the-Loop (HITL) evaluations. • Production Integration: Working closely with internal stakeholders (Development, Production, etc.) to oversee the seamless transition of validated models into live production environments. • AI Model Tuning & Optimization: Execute supervised fine-tuning (SFT) on LLMs to align output with Client/Project specific style, voice, and domain-specific terminology. • RAG Corpus Management: Architect and maintain high-quality corpora for Retrieval-Augmented Generation, ensuring that vector databases are populated with clean, relevant, and deduplicated data. • Data Engineering: Perform advanced data analysis, cleansing, and data generation to prepare clean datasets for model training and tuning. • Output Verification: Utilize native-level linguistic expertise to perform deep-dive audits of NMT and LLM outputs, identifying nuanced errors such as hallucinations, cultural insensitivity, or tone inconsistency that automated metrics might miss. • Linguistic Asset Engineering: Manage and optimize Translation Memories (TMs) and Termbases to serve as the foundational "ground truth" for AI training. • Quality Control: Implement and evolve Machine Translation Post-Editing (MTPE) workflows, integrating AI-assisted quality estimation (QE) to reduce manual overhead. • Analytics & Productivity Insights: Gather and analyze post-deployment data, focusing on Edit Distance, time-to-market reduction, and cost-per-word efficiency. • Stakeholder Reporting: Translate complex technical data into actionable insights for Program Managers and clients, recommending rebuilds or retraining cycles where necessary. • Operations & Troubleshooting: Serve as the escalation point for engine failures, API latency issues, or unexpected model "hallucinations.". • Process Documentation: Create "Living Documentation" for evolving AI workflows to ensure team-wide alignment and scalability.

Role Description 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. 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 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. - 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 - 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. Requirements - CFA Charterholder or CFA Candidate (Preferred) - ACCA, ACA, CMA, MBA Finance, M.Com, or similar credentials such as CIA, CISA or JD (Preferred) - Experience in financial modeling, valuation, forecasting, budgeting, investment analysis, or quantitative research (Preferred) - Experience reviewing technical content, research, or analytical reports (Preferred) - Exposure to AI, machine learning, data annotation, or model evaluation projects is a plus (Preferred) Benefits - $5.00–$9.00 USD per hour (depending on qualifications and project) - Fully Remote - Flexible Schedule - On-call assignments - 0–20 hours per week, depending on project availability - Temporary Contract Opportunity - Opportunities to participate in future AI evaluation initiatives Application Requirements - Updated Resume/CV - Primary Area of Expertise - Secondary Area of Expertise (if applicable) - Total Years of Relevant Experience - Current Location - Availability (Hours Per Day) - Personal Email Address