Publicada el Publicado hace 18 hr horas
Misión del puesto
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 integral 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 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.
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
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.
The assessment is mandatory & non-billable
If interested, kindly share your updated resume at : tsingh3@innodata.com
