Overview
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.
Role
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 are seeking a Physics 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 Physics content. Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced Physics concepts.
Key Responsibilities
* Create high-quality, accurate, and pedagogically sound content in physics, including:
* Conceptual explanations
* Problem sets and solutions
* Theoretical summaries and derivations
* Research abstracts and technical writing
* Collaborate with AI researchers and engineers to: Review and refine physics-related model outputs
* Identify and fill conceptual gaps in LLM training data
* Build datasets across a wide range of physics domains (e.g., classical mechanics, quantum physics, thermodynamics, electromagnetism, relativity, astrophysics, etc.)
* Provide feedback to improve LLM performance in reasoning, solving, and communicating physics content
* Ensure consistency, depth, and scientific accuracy across all content
* Contribute to the development of content standards and annotation guidelines
Qualifications
* Master\'s or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered)
* Strong background in theoretical and/or applied physics
* Excellent technical and academic writing skills
* Experience in teaching, curriculum design, academic publishing, or textbook writing
* Strong analytical and problem-solving skills
* Proficient in LaTeX, Markdown, or similar tools used for scientific documentation
* Comfortable working in fast-paced, cross-functional teams with engineers, linguists, and data scientists
* As part of the project, you are required to complete the English language assessment
Eligibility Criteria
* Master\'s or PhD in Physics or a closely related discipline (MS with exceptional experience may be considered)
* Strong background in theoretical and/or applied physics
* Excellent technical and academic writing skills
* Experience in teaching, curriculum design, academic publishing, or textbook writing
* Strong analytical and problem-solving skills
* Proficient in LaTeX, Markdown, or similar tools used for scientific documentation
* Comfortable working in fast-paced, cross-functional teams with engineers, linguists, and data scientists
* As part of the project, you are required to complete the English language assessment
Application details
* The English language assessment is mandatory & non-billable*
* If interested, kindly share your updated resume at : ******
Senioriry level
* Entry level
Employment type
* Full-time
Job function
* Research, Analyst, and Information Technology
Industries
* Business Consulting and Services
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