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Remote Generative Ai Project Manager Jobs in Columbia, SC

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

Connection

Sr Solution Architect, 0365 - Remote

SC · Remote

$120K - $156K/yr

  • Medical

  • Retirement

  • PTO

Microsoft 365 Copilot and generative AI solutions (horizontal and vertical) * Microsoft Entra ID ... Microsoft Intune, Endpoint Manager, Mobile Device Management (MDM), Mobile Application Management ...

Connection

Sr Solution Architect, 0365 - Remote

SC · On-site +1

$120K - $156K/yr

  • Medical

  • Retirement

  • PTO

Microsoft 365 Copilot and generative AI solutions (horizontal and vertical) * Microsoft Entra ID ... Microsoft Intune, Endpoint Manager, Mobile Device Management (MDM), Mobile Application Management ...

micro1 AI

Physics Modeling Expert - Remote

Columbia, SC · Remote

$80 - $140/hr

... project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No ...

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How much do remote generative ai project manager jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote generative ai project manager in Columbia, SC is $50.28, according to ZipRecruiter salary data. Most workers in this role earn between $39.81 and $58.70 per hour, depending on experience, location, and employer.

What is a remote generative AI project manager?

Remote Generative AI Project Managers are professionals who oversee projects involving the development and implementation of generative artificial intelligence technologies, such as AI that creates text, images, or other content. They coordinate teams, manage timelines and budgets, and ensure project goals are met—all while working remotely. These managers often act as a bridge between technical teams and stakeholders, making sure projects align with business objectives. Their role requires a blend of project management skills, understanding of AI concepts, and the ability to work effectively in virtual environments.

How does a remote generative AI project manager typically collaborate with cross-functional teams to ensure project success?

Remote Generative AI Project Managers frequently coordinate with data scientists, engineers, product managers, and stakeholders across different locations and time zones. They use a combination of virtual collaboration tools, regular video meetings, and project management platforms to track progress, clarify requirements, and address challenges as they arise. Effective communication and proactive status updates are essential to aligning team efforts, managing expectations, and ensuring timely delivery of AI-driven solutions. Establishing clear workflows and fostering a culture of transparency help maintain momentum and drive successful outcomes, even in a fully remote environment.

What are the key skills and qualifications needed to thrive as a remote generative AI project manager, and why are they important?

To thrive as a Remote Generative AI Project Manager, you need expertise in project management methodologies, a solid understanding of AI concepts, and a relevant degree or certification such as PMP or Agile. Familiarity with AI development tools, collaboration platforms like Jira or Asana, and cloud-based environments is typically required. Outstanding communication, problem-solving abilities, and the capacity to lead cross-functional remote teams are essential soft skills. These competencies ensure effective coordination, timely delivery of AI projects, and seamless collaboration in a remote work environment.

What are popular job titles related to Remote Generative Ai Project Manager jobs in Columbia, SC?

For Remote Generative Ai Project Manager jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Project Manager jobs in Columbia, SC look for?

The top searched job categories for Remote Generative Ai Project Manager jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Remote Generative Ai Project Manager jobs?

Cities near Columbia, SC with the most Remote Generative Ai Project Manager job openings:

Remote Generative Ai Project Manager jobs near you
Infographic showing various Remote Generative Ai Project Manager job openings in Columbia, SC as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $104,580 per year, or $50.3 per hour.

AI/ML Data Contributor

TSMG

Columbia, SC • Remote

Part-time

Re-posted 21 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.