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Domain Expert Q&A Development - Chemistry

Job in 110006, Delhi, Delhi, India
Listing for: Innodata Inc.
Full Time position
Listed on 2026-01-30
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Job Description & How to Apply Below
Position: Domain Expert  Q&A Development - Chemistry
Job Title:

Domain Expert – Q&A Development
Job Type:  Independent Contractor(4 weeks)

About the Role
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.
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