Applied Data Scientist, Finance AI Evaluation & Datasets

Innodata Inc.

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Full-time

Legal agreement: Employment

Compensation

USD150k - 175k/year

Remote (anywhere)

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about 2 months ago

Innodata Inc. is hiring an Applied Data Scientist, Finance AI Evaluation & DatasetsOwn the design and quality of datasets that power financial-domain LLMs and AI agents. 🧠 You’ll work with PDFs, spreadsheets, charts, and call transcripts to build robust evaluation suites for fraud detection, earnings analysis, and more.Tasks:Design training and evaluation datasets for financial AI, including QA, filings analysis, and fraud/AML.Develop evaluation methodology focusing on numerical consistency, hallucination rates, and fairness.Build statistical/ML tooling for dataset trustworthiness (bias analysis, leakage detection).Package evaluation evidence for model risk management.Instrument datasets into LLM-as-judge prompts and regression suites.

About Innodata Inc.:

(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked. That’s why we’re on a mission to help the world’s leading technology companies and enterprises drive Generative and Traditional AI innovation. We provide a range of transferable solutions, platforms, and services for AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

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