Finance Specialist
Innodata
Job Description
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 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
- 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:
- Bachelor’s or Master’s 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