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Generative Ai Part Time Jobs (NOW HIRING)

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Associate

$15/hr

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

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How much do generative ai part time jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for generative ai part time in the United States is $25.07, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $27.16 per hour, depending on experience, location, and employer.

What is a generative AI part time?

A Generative AI Part Time job involves working with artificial intelligence models that are designed to create new content, such as text, images, or music, based on training data. These roles can include tasks such as developing, fine-tuning, or evaluating generative AI models, as well as integrating them into applications. Part-time positions offer flexibility in work hours and are suitable for students, freelancers, or professionals seeking additional experience in AI. Common responsibilities may include data preparation, model testing, and collaborating with other team members on AI-driven projects.

What are the key skills and qualifications needed to thrive as a generative AI part time, and why are they important?

To thrive as a Generative AI Specialist (Part-Time), you typically need a background in computer science, machine learning, and experience with AI model development. Proficiency with tools like Python, TensorFlow, PyTorch, and familiarity with generative models such as GANs or LLMs, as well as relevant certifications, are highly valuable. Strong analytical thinking, creativity, and collaboration skills help individuals adapt to evolving project needs and work effectively with stakeholders. These capabilities are crucial for driving innovative AI solutions and ensuring project success within limited working hours.

What is the difference between Generative Ai Part Time vs Data Scientist Part Time?

AspectGenerative Ai Part TimeData Scientist Part Time
Required CredentialsRelevant AI/ML certifications, programming skillsStatistics, data analysis, programming certifications
Work EnvironmentTech companies, startups, freelance projectsResearch labs, tech firms, consulting
Employer & Industry UsageAI development, content creation, automationData analysis, predictive modeling, business insights

Generative Ai Part Time roles focus on creating AI models that generate content, requiring skills in AI/ML and programming. Data Scientist Part Time roles involve analyzing data to extract insights, often requiring similar technical credentials. While both roles operate in tech environments, Generative Ai positions emphasize AI model development, whereas Data Scientist roles focus on data analysis and interpretation.

Can you get a job with generative AI?

A job involving generative AI typically requires skills in machine learning, deep learning, and programming languages like Python. Roles may include AI researcher, data scientist, or AI engineer, often requiring experience with tools such as TensorFlow or PyTorch. Entry-level positions are available for those with relevant education or certifications in AI and related fields.
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Generative Ai Part Time jobs near you
Infographic showing various Generative Ai Part Time job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $52,154 per year, or $25.1 per hour.

Generative AI Associate

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Posted 29 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

165th of 247 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:
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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