SME

Innodata India

Dadri

On-site

INR 180,000 - 340,000

Full time

14 days+

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Job summary

Innodata India seeks Subject Matter Experts to design highly complex, multi-step problems testing multi-domain STEM reasoning. You will author fully derived, verifiable solutions and ensure each item is original, well-posed, and self-contained.

The role requires expert domain knowledge, strong analytical skills, and mastery of technical writing, including LaTeX, to present steps clearly and reproducibly. Applicants should develop high-quality benchmarks for AI systems.

Qualifications

  • Advanced degree holders are required in engineering, science, or technology.
  • Strong analytical, dimensional analysis, and numerical methods skills.
  • Excellent technical writing and ability to present reasoning clearly.

Responsibilities

  • Design high-complexity, multi-step problems in your specialization.
  • Author fully derived solutions as verifiable ground-truth references.
  • Ensure each item is original, self-contained, and well-posed with a single answer.
  • Independently verify all calculations and intermediate results.
  • Maintain high domain depth and rigor in problem authoring.

Skills

Domain expertise
Analytical skills
LaTeX proficiency
Technical writing

Education

Master's or PhD in Engineering/Science/Tech

Tools

LaTeX

Job description

Subject Matter Expert (SME) Advanced Technical Reasoning (STEM)
Job Overview

We are seeking Subject Matter Experts (SMEs) across engineering and the sciences to design rigorous, high-complexity problems that test the multi-step reasoning capabilities of advanced AI systems. You will apply deep domain expertise to author challenging problems and fully derived, verifiable solutions that serve as ground-truth benchmarks. The role is open across disciplines, and contributors work strictly within their own field of specialization.

Key Responsibilities
  • Design high-complexity, multi-step problems in your specialization that test the quantitative and analytical reasoning of advanced AI systems.
  • Author fully derived solutions that serve as verifiable ground-truth references, ending in an unambiguous final answer.
  • Ensure each item is original, self-contained, and well-posed, with a single objectively verifiable answer.
  • Independently verify every calculation and intermediate result before submission.
  • Ensure every item is of high complexity, with genuine domain depth.
Problem/Solution Authoring

For each item, you will produce:

  1. Problem Statement: A precisely scoped task with a single objective and one definitive, objectively verifiable answer.

  2. Visual Artifact (multimodal items only): An authentic, technically accurate figure (such as a drawing, schematic, plot, or process diagram) from which the essential data must be interpreted.

  3. Worked Solution: A fully derived, step-by-step solution that traces the reasoning from problem formulation (and visual interpretation, where applicable) to the result.

  4. Final Answer: The requested result stated concisely, with correct units, significant figures, and format.

Creation Requirements
  • Self-contained: the problem statement supplies all data, constraints, and boundary conditions required for a unique solution, with no unstated assumptions.
  • Well-posed: a single objective and one verifiable answer, with the required units, significant figures, and specified answer format.
  • High complexity: multi-step, non-routine reasoning in which the solver must select and justify the governing principles and method, rather than apply recall or direct substitution.
  • Difficulty: target the Hard tier: multiple reasoning steps, multi-concept synthesis, and multiple decision points (assumptions, method, validation), and difficult enough that advanced AI models fail to solve it reliably.
  • Disciplinary depth: resolution must depend on the core theory and methods of the field, not on generic quantitative reasoning.
  • Originality: a novel formulation and parameterization that cannot be retrieved through online search.
  • Solution rigor: clearly labelled steps, defined symbols and assumptions, consistent units and dimensional analysis, and no unjustified leaps in logic.
  • No AI usage: the problem, solution, and final answer must be authored entirely by you, without generative AI tools or AI-generated content at any stage of QSA creation.
  • LaTeX: all equations, symbols, units, and mathematical expressions in the problem, solution, and final answer must be typeset in proper LaTEX (math mode), with no plain-text or ASCII math.

plain-text or ASCII math.

Final answer: restricted to the requested result, with mathematical expressions typeset in LaTeX.

Figure integrity: authentic, technically accurate, high-resolution and legible, with labelled axes, scales, or dimensions where relevant, and free of watermarks, logos, or interface artifacts.

Required Qualifications
Education
  • Master's or PhD in Engineering, Science, Technology, or a closely related discipline.
Subject Matter Expertise
  • Deep command of the first principles and analytical methods of your discipline, with the ability to formulate graduate-level, multi-step problems and produce fully derived solutions.
  • Proficiency in both text-only problem formulation and the interpretation of technical visuals, including diagrams, drawings, schematics, plots, and layouts.
  • Strong analytical skills, with fluency in mathematical derivation, dimensional analysis, and numerical methods.
  • Excellent technical writing, with the ability to present reasoning in a structured, precise, and reproducible manner.
Working proficiency in LaTeX for typesetting equations, symbols, and units.
  • Demonstrated background in academic or industrial research, university-level teaching, or advanced problem authoring.
Preferred Qualifications (Bonus)
  • Familiarity with grading rubrics and Olympiad-or examination-style question design.
  • Experience producing or working with industrial drawings, technical drawings, schematics, or data visualizations.
  • Peer-reviewed publications, patents, or professional certification.
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