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Domain Expert Q&A Development - Mathematics

Job in 110006, Delhi, Delhi, India
Listing for: Innodata Inc.
Full Time position
Listed on 2026-02-03
Job specializations:
  • IT/Tech
    Mathematics, Data Scientist
  • Research/Development
    Mathematics, Data Scientist
Job Description & How to Apply Below
Job Title:

Domain Expert – Q&A Development

Job Type: Independent Contractor(4 weeks)

About the Role

We are seeking highly skilled Chemistry and Mathematics 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:

Mathematics

- Algebra
- Calculus
- Geometry
- Probability Theory
- Number Theory
- Discrete Mathematics

- - Qualifications & Skills (Consolidated)
- Master’s degree or PhD in relevant Mathematics 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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