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Commission Generative Ai Sales Jobs (NOW HIRING)

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at ...

DXC Technology Inc.

WI · On-site

We are seeking a driven Consultative AI Sales Professional to help DXC clients unlock measurable business value through AI/ML,Generative&AgenticAIplatformandsolutions. This role focuses on driving ...

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How much do commission generative ai sales jobs pay per year?

As of Sep 10, 2026, the average yearly pay for commission generative ai sales in the United States is $76,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $93,000.00 per year, depending on experience, location, and employer.

What is the difference between Commission Generative Ai Sales vs Commission AI Sales Representative?

AspectCommission Generative Ai SalesCommission AI Sales Representative
CredentialsSales experience, knowledge of AI and generative modelsSales experience, familiarity with AI products
Work EnvironmentRemote or office-based, focused on AI solutionsRemote or in-person, client-facing sales roles
Industry UsageTech, AI, software companiesTech, AI, software companies
Search & Comparison IntentUnderstanding roles in AI sales with commission focusExploring sales roles in AI with commission structure

Commission Generative Ai Sales involves selling AI solutions specifically related to generative models, often requiring technical knowledge of AI. In contrast, a Commission AI Sales Representative typically handles a broader range of AI products and services, focusing on client engagement and sales. Both roles emphasize commission-based earnings but differ in technical depth and product specialization.

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Infographic showing various Commission Generative Ai Sales job openings in the United States as of September 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $76,681 per year, or $36.9 per hour.

Generative AI Associate

Remote

Innodata Inc.
IT Services • 501 - 1,000 employees
Learn more about Innodata Inc.external

$15/hr

Full-time, Part-time

Re-posted 5 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

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:
At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact-on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance.
This is more than just a gig-it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You'll Own:
  • Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
  • Labeling elements of a piece of content rather than the content as a whole.
  • Assigning predefined categories or labels to items.
  • Evaluating the perceived quality and/or appropriateness of content
  • Generating labels to advance understanding of a concept, trend etc.
  • Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
  • Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
  • Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
  • Ordering or ranking items based on a set of preferences or criteria.
  • Creating prompts or questions that will be used to generate responses from a language model or other AI system.
  • Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
  • Generating responses to prompts or questions using a language model or other AI system.
  • Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
  • Producing concise summaries of longer pieces of text or data.
  • Converting spoken language or audio content into written text.
  • Converting text or spoken language from one language to another.
  • Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

You'll Thrive in This Role If You Have:
  • A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)
  • Professional or Expert level proficiency (C1/C2) in English

The expected hourly salary range for this position is $15 p/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.

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