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Part Time Generative Ai Project Manager information

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$30K

$60.8K

$88.5K

How much do part time generative ai project manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for part time generative ai project manager in the United States is $60,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $70,000.00 per year, depending on experience, location, and employer.

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

AspectPart Time Generative Ai Project ManagerPart Time Data Scientist
Required CredentialsProject management certifications, AI knowledgeStatistics, programming, data analysis skills
Work EnvironmentCollaborative, project-focused teams in tech or AI firmsData analysis, modeling in research or corporate settings
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

While both roles involve AI, the Part Time Generative Ai Project Manager focuses on overseeing AI projects and coordinating teams, whereas the Part Time Data Scientist analyzes data to develop models. The project manager ensures project delivery, while the data scientist provides technical insights. Both roles often require technical knowledge of AI and work in tech-driven environments, but their core responsibilities differ significantly.

Are part time generative AI project managers in demand?

Part time generative AI project managers are increasingly in demand as companies seek flexible expertise to oversee AI development projects. Skills in AI tools, project management, and understanding of generative models enhance employability in this growing field.

How much do part time generative ai project managers make?

Part-time generative AI project managers typically earn between $30 and $70 per hour, depending on experience, location, and project complexity. Salaries can vary widely based on industry, certifications, and the scope of responsibilities involved.
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What job categories do people searching Part Time Generative Ai Project Manager jobs look for?

The top searched job categories for Part Time Generative Ai Project Manager jobs are:

Part Time Generative Ai Project Manager jobs near you
Infographic showing various Part Time Generative Ai Project Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $60,830 per year, or $29.2 per hour.

Generative AI Associate - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Re-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

163rd of 245 rated software companies

Job description

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.

What Innodata employees say

Hours and flexibility

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