Finance Specialist

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and GermanyJob Title: AI Trainer - Finance SpecialistRole Type: FreelanceWork Mode: RemotePayment Structure: Hourly-based (paid upon successful task completion on monthly basis)Project Duration: Short term projectAbout the Role:We are looking for a Finance Specialist to support the training and evaluation of Large Language Models (LLMs). This role involves applying financial domain expertise to review, validate, and create high-quality content that helps improve AI systems’ understanding of finance-related concepts.Key Responsibilities:Provide domain-specific feedback to improve model outputs across areas like accounting, financial analysis, taxation, and marketsIdentify systematic errors, biases, and hallucinations in financial outputs and recommend improvementsDesign and curate high-quality training datasets, including prompts, responses, and edge-case scenariosDevelop and refine evaluation rubrics and quality frameworks for financial contentEvaluate and benchmark AI-generated financial responses for accuracy, compliance, and logical reasoningConduct in-depth research to validate financial data and ensure alignment with real-world financial standards and regulationsQualifications:Bachelor’s or Master’s degree in Finance, Accounting, Economics, or a related fieldStrong understanding of core financial concepts (financial statements, valuation, taxation, markets, corporate finance)Ability to critically evaluate complex financial narratives and data-driven insightsProfessional certifications (CA, CPA, CFA, MBA – Finance)Also you need to go through two assessments, so kindly apply only if you will be available for the assessment and ready to collaborate for the project

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