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 worlds 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, were 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 Germany

Job Title: AI Trainer - Finance Specialist

Role Type: Freelance

Work Mode: Remote

Payment Structure: Hourly-based (paid upon successful task completion on monthly basis)

Project Duration: Short term project

About 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 markets
• Identify systematic errors, biases, and hallucinations in financial outputs and recommend improvements
• Design and curate high-quality training datasets, including prompts, responses, and edge-case scenarios
• Develop and refine evaluation rubrics and quality frameworks for financial content

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• Evaluate and benchmark AI-generated financial responses for accuracy, compliance, and logical reasoning
• Conduct in-depth research to validate financial data and ensure alignment with real-world financial standards and regulations

Qualifications:

• Bachelors or Masters degree in Finance, Accounting, Economics, or a related field
• Strong understanding of core financial concepts (financial statements, valuation, taxation, markets, corporate finance)
• Ability to critically evaluate complex financial narratives and data-driven insights
• Professional 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