Logo for Innodata Inc.

Subject Matter Experts

Role overview

Qualifications

  • Master's or PhD in the relevant domain
  • Strong research, analytical, and problem-solving skills
  • Excellent written English communication
  • Prior experience in research, academia, or industry is preferred

Responsibilities

  • Review the assigned domain archives thoroughly to understand the subject matter
  • Extract relevant facts, concepts, scenarios, exceptions, and decision points from the archived material
  • Create clear and accurate question-and-answer pairs based only on the approved archive content
  • Classify each QA with relevant metadata such as domain, topic, difficulty level, source archive, version/date, and reviewer status

Key facts

Other skills

  • Research
  • Analytical Skills
  • Problem Solving
  • Communication

About the company

Innodata Inc. logo

Innodata Inc.

Information Technology & Services

(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.

Company details

Company typeLarge
IndustryInformation Technology & Services
Company size1001 - 5000

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

We are seeking experienced Subject Matter Experts (SMEs) to support the training and evaluation of advanced AI models. You will leverage your domain expertise to create, review, and validate high-quality technical content, ensuring AI-generated responses are accurate, logical, and scientifically sound.

Domains Hiring For

  • High-Energy Physics Theory
  • Number Theory / Competition Mathematics
  • Computer Vision (Classical CV, CNNs, Video Analytics, Segmentation)
  • Statistical Machine Learning (Feature Selection, Statistical Modelling)
  • Natural Language Processing (NLP) with Large Language Models (LLMs)
  • Signal Processing (Compressed Sensing, Digital Signal Processing, Feature Selection)
  • Computational Neuroscience

What You'll Own: 

  • Review the assigned domain archives thoroughly to understand the subject matter, terminology, processes, policies, historical context, and key updates.
  • Extract relevant facts, concepts, scenarios, exceptions, and decision points from the archived material.
  • Create clear and accurate question-and-answer pairs based only on the approved archive content.
  • Cover different levels of complexity, including factual recall, conceptual understanding, application-based scenarios, reasoning, and edge cases.
  • Ensure every answer is complete, unambiguous, and traceable to the relevant archive, document, or source section.
  • Avoid assumptions, external information, duplicate questions, and content that is outdated or inconsistent with the latest archived version.
  • Flag gaps, conflicting information, unclear language, or missing context in the archives for domain-owner clarification.
  • Classify each Q&A with relevant metadata such as domain, topic, difficulty level, source archive, version/date, and reviewer status.

You'll Thrive in this Role If You Have: 

  • Master's or PhD in the relevant domain
  • Strong research, analytical, and problem-solving skills.
  • Excellent written English communication.
  • Prior experience in research, academia, or industry is preferred.
  • Familiarity with AI, Machine Learning, or LLMs is an added advantage.

The expected salary range for this position is $75- $100 USD per hour, based on experience, skills, and qualifications.

 

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. 

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Related jobs

Other jobs at Innodata Inc.

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.