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Remote Generative Ai Project Manager Jobs in Shamokin, PA

Geisinger Health

Director AI Evaluation

Danville, PA · On-site +1

  • Medical

  • Dental

  • Vision

... managing, developing, and growing technical staff; building teams, not just leading projects ... Experience evaluating LLM or generative AI systems, or comparable experience with complex ML ...

Geisinger Health

Digital Solutions Analyst Senior

Danville, PA · On-site +1

$100K - $133K/yr

  • Medical

  • Dental

  • Vision

Ability to utilizer Generative AI applications such as Claude and Copilot to assist with code ... staff/management within and beyond the organization. * Ability to interpret and communicate ...

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

  • Medical

  • Dental

  • Vision

Job Duties: * Leads and manages the entire lifecycle of data science projects, from ... Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and ...

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

  • Medical

  • Dental

  • Vision

Job Duties: * Leads and manages the entire lifecycle of data science projects, from ... Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and ...

Geisinger Health

Senior AI Product Manager

Danville, PA · On-site +1

$144K - $191K/yr

  • Medical

  • Dental

  • Vision

This role is where AI strategy becomes reality. You will own the product vision and delivery ... an office or remote environment. Accountable for satisfying all job specific obligations and ...

Geisinger Health

Senior Platform Data Engineer

Danville, PA · On-site +1

$121K - $164K/yr

  • Medical

  • Dental

  • Vision

... generative AI programs use to ground LLM outputs in organizational knowledge. * Designs and ... Manages the embedding pipeline: selecting, tuning, and versioning embedding models (domain-specific ...

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

As of Aug 16, 2026, the average hourly pay for remote generative ai project manager in Shamokin, PA is $51.61, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $60.29 per hour, depending on experience, location, and employer.

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 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.

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

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

What cities near Shamokin, PA are hiring for Remote Generative Ai Project Manager jobs?

Cities near Shamokin, PA 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 Shamokin, PA as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,356 per year, or $51.6 per hour.

Director AI Evaluation

Geisinger Health

Danville, PA • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 2 days ago

Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 444 frontline employees who took The Breakroom Quiz

459th of 887 rated healthcare providers

Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
The Director of AI Evaluation owns how Geisinger defines, proves, and sustains quality across its entire AI portfolio - internally built models and vendor-provided systems alike. This is a hands-on technical leader who also manages the people who do the building and the proving: the data scientists who develop production machine learning and fine-tuned AI systems, and the senior analysts who evaluate them.
Every high-value AI initiative - bought or built - needs a single, credible standard for what constitutes quality, who validates it, and how it stays good in production. The Director sets that standard, leads the team that enforces it, and reports findings to the VP of AI, executive leaders, and the board.
This role is a manager who develops a multidisciplinary team, a technical authority who defines evaluation method across the enterprise, and a quality owner who guides every major AI program toward evidence that withstands scrutiny.
Job Duties:
  • Reports to the VP of AI; directly career-manages the data science line and matrix-manages the Senior Analysts, AI Evaluation.
  • Determines the quality standard for any high-value AI initiative at Geisinger - internally built or vendor-provided - from design through production.
  • Holds bought systems to the same standard as built ones, generating local evidence on whether a tool works here for Geisinger's clinicians and patients rather than accepting vendor aggregate or cherry-picked results.
  • Owns the methodology that holds initiatives to that standard: pre-production validation and live production monitoring.
  • Owns the health of the data science team - attracting and retaining strong technical talent, developing careers, and keeping the bench deep, engaged, and growing - and leads and develops the evaluation team alongside it.
  • Provides hands-on technical guidance to program teams as they design validation studies, equity audits, monitoring plans, and escalation playbooks.
  • Owns the evaluation toolkit and reusable playbooks and templates that let each new program move faster than the last.
  • Translates program-specific failure modes into concrete, measurable production-monitoring metrics; defines what is measured and how, while the AI Platform team builds the backend.
  • Tracks AI System Performance - the single most important accuracy indicator for each system, against thresholds set to clinical tolerance.
  • Tracks User Adoption - engagement, override rates, and time-to-action - distinguishing genuine workflow misalignment and alarm fatigue from poor predictive value.
  • Connects each AI to the Outcome it was deployed to improve (mortality, time-to-treatment, boarding time, denial rate, cost per case) against a pre-launch baseline over a use-case-appropriate horizon, holding both tangible returns and harder-to-quantify value in view.
  • Monitors Equity - the maximum performance gap on the Pillar 1 metric across the subgroups that matter for the initiative, so disparate impact surfaces early.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
Position Details:
Required Skills and Qualifications:
  • People-leadership experience - managing, developing, and growing technical staff; building teams, not just leading projects.
  • Strong foundation in experimental design and causal inference, with judgment about which method fits which situation.
  • Hands-on experience designing and running model evaluation studies in real production settings.
  • Experience evaluating LLM or generative AI systems, or comparable experience with complex ML systems where ground truth is ambiguous or noisy.
  • Proven ability to translate ambiguous failure modes into concrete, defensible evaluation designs and monitoring metrics.
  • Strong fluency in Python and SQL; working comfort with modern ML tooling and cloud-native data environments.
  • Experience in evaluating fairness and equity in ML systems.
  • Clear written communication - the role produces evaluation memos and specifications that non-technical decision-makers rely on.
  • Healthcare, clinical, or regulated-industry experience strongly preferred.

Education:
Bachelor's Degree-Related Field of Study (Required)
Experience:
Minimum of 8 years-Related work experience (Required), Minimum of 3 years-Managerial/Supervisory (Required)
Certification(s) and License(s):
Skills:
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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