Domain Expert – Q&A Development (PHD Mathematics)

Innodata Inc.

India

Remote

INR 1,029,456 - 1,466,195

Part time

14 days+

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Job summary

A leading educational technology firm in India is seeking a highly skilled Domain Expert for Q&A Development. The ideal candidate should possess a Master’s degree or PhD in relevant Mathematics domains and have experience in academic content development. This role involves creating structured Chain of Thought (CoT) questions and answers, using LaTeX for scientific notation, and ensuring the accuracy and quality of the content. Strong analytical skills and effective communication abilities are essential for success in this position.

Qualifications

  • Strong academic or research expertise in Mathematics.
  • Experience in academic content development or structured Q&A creation.
  • Ability to simplify complex concepts.

Responsibilities

  • Develop Chain of Thought Q&As in advanced Mathematics.
  • Ensure logical coherence in questions and solutions.
  • Collaborate with internal review teams.

Skills

Analytical thinking
Scientific problem-solving
Proficiency in LaTeX
Effective communication

Education

Master’s degree or PhD in Mathematics

Job description

Job Title: Domain Expert – Q&A Development

Hourly rate: $10 per hour(output driven ONLY) (Can be discussed after qualifying the assessment)

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
  • Geometry
  • Probability Theory
  • Number Theory
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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