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Remote Generative Ai Project Manager Jobs in Phoenix, AZ

YO AI Labs

Medical Auditor - Remote

Phoenix, AZ · Remote

$50 - $70/hr

... are AI project. In this role, you will help improve next-generation AI systems by reviewing ... Support audit program management initiatives using healthcare coding and compliance expertise.

YO AI Labs

Analytics Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... Experience using generative AI or AI agents in professional workflows. * Experience integrating BI ...

New

YO AI Labs

Pharmacovigilance Expert - Remote

Phoenix, AZ · Remote

$70 - $80/hr

... are AI project. In this role, you will help improve next-generation AI systems by reviewing ... Signal Management * Benefit-Risk Assessment * MedDRA Coding * Seriousness & Causality Assessment

Aprio

Senior AI Product Associate, IT

Phoenix, AZ · On-site +1

$104K - $160K/yr

Communicate project status, risks, and decisions clearly to practitioners and firm leadership ... Apply generative-AI capabilities relevant to professional services - LLMs, document intelligence ...

YO AI Labs

Hematology Expert - Remote

Phoenix, AZ · Remote

$150 - $200/hr

Remote Job Overview We are seeking experienced Clinicians specializing in Oncology and Hematology to contribute their medical expertise to an innovative healthcare AI project. In this role, you will ...

YO AI Labs

Clinicia Expert - Remote

Phoenix, AZ · Remote

$150 - $200/hr

Remote Job Overview We are seeking experienced Clinicians specializing in Oncology and Hematology to contribute their medical expertise to an innovative healthcare AI project. In this role, you will ...

YO AI Labs

Oncology Expert - Remote

Phoenix, AZ · Remote

$150 - $200/hr

Remote Job Overview We are seeking experienced Clinicians specializing in Oncology and Hematology to contribute their medical expertise to an innovative healthcare AI project. In this role, you will ...

YO AI Labs

AI Consulting Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Collaborate remotely with project teams to support continuous AI improvement. Required Skills ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

Solid Rock Recruiting LLC

Project Manager

Phoenix, AZ · Remote

Solid Rock Recruiting, The #1 Glass/Glazing Recruiter in the USA Senior Project Manager - Commercial Glass & Glazing Remote Opportunity Available Lead Complex Projects. Join a Team That Values People.

SSOE, Inc.

Senior Project Manager

Phoenix, AZ · On-site +1

$130K - $160K/yr

May be eligible for a fully remote work schedule per company policy. * Competitive Salary : $130k ... As a leader in industry AI adoption, we empower our team to work smarter by providing responsible ...

Solid Rock Recruiting LLC

Project Manager

Phoenix, AZ · On-site +1

This is an excellent opportunity for an experienced glazing professional who wants to work with a collaborative leadership team, manage impactful projects, and enjoy the flexibility of a remote ...

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

As of Aug 28, 2026, the average hourly pay for remote generative ai project manager in Phoenix, AZ is $53.96, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $63.03 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 Phoenix, AZ?

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Remote Generative Ai Project Manager jobs near you

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 6 days ago

Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

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