Domain Expert(Chemistry)

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 are seeking highly skilled Chemistry professionals to develop high-quality Chain of Thought (CoT) Question & Answers for advanced scientific and mathematical problem-solving.
The ideal candidate will have strong conceptual foundations, rigorous analytical skills, and experience in structured scientific reasoning. Proficiency in LaTeX is essential for producing clear, well-formatted, step-by-step solutions.
Key Responsibilities
Develop detailed Chain of Thought (CoT) Q&As across advanced scientific and mathematical domains.
Ensure logical coherence and structured reasoning in both questions and solutions.
Use LaTeX for precise scientific notation and documentation.
Collaborate with internal review teams to ensure consistency and quality.
Conduct in-depth reviews to maintain scientific accuracy and adherence to guidelines.
Contribute subject-matter expertise across the following domains:
Chemistry
Polymer Chemistry
Analytical Chemistry
Physical Chemistry
Inorganic Chemistry
Organic Chemistry
Qualifications & Skills (Consolidated)
Master’s degree or PhD in relevant Chemistry domains.
Strong academic or research expertise with the ability to create structured scientific explanations and step-by-step analytical solutions.
Mandatory experience in academic content development, research, or structured Q&A creation.
Strong proficiency in LaTeX for technical and scientific writing.
Excellent analytical thinking, scientific problem-solving ability, and attention to detail.
Ability to simplify complex concepts into clear, logically structured reasoning.
Strong written communication skills and the ability to work effectively in a collaborative, review-driven environment.
Preferred: Experience with AI/ML-based problem formulation, evaluation, or model testing, and familiarity with educational technology platforms and digital assessment workflows.
Additional advantage: Experience in red teaming or adversarial evaluation.
6 months to 2 years of relevant experience preferred.
If you’re detail-oriented, tech-curious, and eager to contribute to the future of AI, we’d love to have you in our growing network.
Interested? kindly send your resume at: Tsharma@innodata.com.
"Please note that Innodata follows a strict no-fee recruitment policy. We never request payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Any such payment request is unauthorized and should be reported immediately."

Work arrangement
Yes