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Remote Generative Ai Engineer Jobs in Springfield, PA

Fish & Richardson

Senior eDiscovery Analyst

Wilmington, DE · Remote

$89K - $113K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... LLMs) and generative AI as applied to document review -- including prompt engineering, model ...

Melior

AI Program Manager

Philadelphia, PA · On-site +1

$90K - $130K/yr

We engineer purpose-built AI workflows and agents for our clients' highest-value problems - from ... This is a hybrid role in Philadelphia, but we are open to remote work for the right candidate. Who ...

Melior

AI Program Manager

Philadelphia, PA · On-site +1

$90K - $130K/yr

We engineer purpose-built AI workflows and agents for our clients' highest-value problems - from ... This is a hybrid role in Philadelphia, but we are open to remote work for the right candidate. Who ...

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Familiarity with LLMs, generative AI, and prompt engineering. * Exposure to AI use cases across ...

GATE 1 LTD

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Familiarity with LLMs, generative AI, and prompt engineering. * Exposure to AI use cases across ...

YO AI Labs

AI Software Engineer - Remote

Philadelphia, PA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI/ML Engineer - Remote

Philadelphia, PA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Cisco

Senior Software Engineer (Remote)

Philadelphia, PA · Remote

$123K - $163K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

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Showing results 41-60

All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Springfield, PA

Remote Generative Ai Engineer information

See Springfield, PA salary details

$35.8K

$109.3K

$180.7K

How much do remote generative ai engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote generative ai engineer in Springfield, PA is $109,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $142,900.00 per year, depending on experience, location, and employer.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are popular job titles related to Remote Generative Ai Engineer jobs in Springfield, PA?

For Remote Generative Ai Engineer jobs in Springfield, PA, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Springfield, PA look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Springfield, PA are:

What cities near Springfield, PA are hiring for Remote Generative Ai Engineer jobs?

Cities near Springfield, PA with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Springfield, PA as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $109,301 per year, or $52.5 per hour.

Business Intelligence Expert - Remote

Philadelphia, PA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 14 days ago

Job description

Business Intelligence & Analytics Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Business Intelligence & Analytics Experts to evaluate and improve AI-powered analytics workflows. You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to provide accurate, practical feedback that helps train next-generation AI systems.

Key Responsibilities
  • Review and validate dashboards, reports, KPIs, and data visualizations.
  • Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks.
  • Check data sources, calculations, metrics, and reporting logic for accuracy.
  • Evaluate KPI structures and analytical outputs for actionable business insights.
  • Test AI agents such as ChatGPT Work, Codex, and Claude Cowork in analytics workflows.
  • Identify errors, inconsistencies, and opportunities for improvement.
  • Document findings and provide structured feedback.
  • Evaluate BI integrations with tools such as Google Drive, Slack, Microsoft 365, SharePoint, and Salesforce.
Required Skills
  • Business Intelligence
  • Data Analytics
  • Power BI
  • Tableau
  • Looker
  • Qlik
  • Sigma
  • Databricks
  • MySQL
  • Data Visualization
  • Dashboard Development
  • Reporting
  • KPI Analysis
  • ChatGPT Work
  • Codex
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in BI, analytics, reporting, or data visualization.
  • Hands-on experience building or validating dashboards and analytical workflows.
  • Strong knowledge of BI tools, SQL, data sources, and KPI reporting.
  • Experience using generative AI or AI agents in professional workflows.
  • Experience integrating BI platforms with workplace and cloud-based systems.
  • Strong analytical, problem-solving, and communication skills.
  • Excellent attention to detail when reviewing data, calculations, and business metrics.