Mathematics/Statics Subject Matter Expert

Há 6 dias


Ituiutaba, Brasil Innodata Inc. Tempo inteiro

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.We're poised for a period of explosive growth over the next few years.About the Role:At Innodata, we're working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs).We're looking for smart, savvy, and curious subject matter experts.We are seeking a Mathematics Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team.In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality educational and technical mathematics content.Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced mathematical concepts.Key Responsibilities:Create high-quality, accurate, and pedagogically sound content in mathematics, including:- Conceptual explanations- Problem sets and solutions- Theoretical summaries and derivations- Research abstracts and technical writingCollaborate with AI researchers and engineers to:- Review and refine mathematics-related model outputs- Identify and fill conceptual gaps in LLM training data- Build datasets across various mathematics domains (e.g., Algebra, Calculus, Geometry, Linear Algebra, Probability, Statistics, Number Theory, Discrete Math, etc.)- Provide feedback to improve LLM performance in reasoning, solving, and communicating mathematical contentEligibility Criteria:- Master's or PhD in Mathematics or a closely related discipline (MS with exceptional experience may be considered)- Strong background in theoretical and/or applied mathematics- Excellent technical and academic writing skillsAs part of the project, you are required to complete the English language assessment.*The assessment is mandatory & non-billable*



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