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Subject Matter Experts Jobs (NOW HIRING)

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 ...

VMware Subject Matter Experts (SME) Location: Rome, NY Duration: 1+ year Primary Skills: VMware Required skills: Need (2) VMware Subject Matter Experts (SME) 1.1 Virtualization Services EMC will ...

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Subject Matter Experts information

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$12

$49

$118

How much do subject matter experts jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for subject matter experts in the United States is $49.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $59.86 per hour, depending on experience, location, and employer.

What is the difference between Subject Matter Experts vs Technical Writers?

AspectSubject Matter ExpertsTechnical Writers
CredentialsExpertise in specific field, often with advanced degrees or certificationsWriting and communication skills, often with degrees in journalism, communications, or related fields
Work EnvironmentConsulting, training, or providing expertise within organizations or projectsCreating manuals, guides, and documentation, often in office or remote settings
Industry UsageUsed across industries to provide specialized knowledgeUsed across industries to produce technical documentation
Search & Comparison IntentUnderstanding expertise roles, consulting, or hiring specialistsLooking for documentation, writing services, or technical communication roles

Subject Matter Experts possess deep knowledge in specific fields, often providing expertise and guidance, while Technical Writers focus on creating clear, accurate documentation based on technical information. Both roles are essential in technical projects but serve different functions within organizations.

More about Subject Matter Experts jobs
What cities are hiring for Subject Matter Experts jobs? Cities with the most Subject Matter Experts job openings:
What states have the most Subject Matter Experts jobs? States with the most job openings for Subject Matter Experts jobs include:
Infographic showing various Subject Matter Experts job openings in the United States as of July 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $103,766 per year, or $49.9 per hour.

$75 - $100/hr

Full-time

Posted 26 days ago


Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

161st of 242 rated software companies


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.

What Innodata employees say

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