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Remote Generative Ai Jobs in Philadelphia, PA (NOW HIRING)

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 ...

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 ... Serve as a subject-matter resource for generative AI and analytics tools, mentoring analysts and ...

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Remote Generative Ai information

See Philadelphia, PA salary details

$16.1K

$149.6K

$192.7K

How much do remote generative ai jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote generative ai in Philadelphia, PA is $149,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,800.00 and $169,000.00 per year, depending on experience, location, and employer.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.

What are the most commonly searched types of Generative Ai jobs in Philadelphia, PA?

The most popular types of Generative Ai jobs in Philadelphia, PA are:

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

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

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

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

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

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

Infographic showing various Remote Generative Ai job openings in Philadelphia, PA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $149,580 per year, or $71.9 per hour.

Generative AI Expert (Remote)

LearnQuest

Philadelphia, PA • On-site, Remote

Full-time

Re-posted 20 days ago


Job description

LearnQuest is seeking a Subject Matter Expert (SME) to spearhead the development of a comprehensive curriculum focused on Generative AI. This is an exciting opportunity to leverage your expertise in AI and educational content development to shape the learning experiences of aspiring AI enthusiasts and professionals.

Responsibilities:

  • Collaborate with our team to develop a curriculum framework tailored to our specific objectives and target audience.
  • Conduct in-depth research on Generative AI topics, emerging trends, and best practices to ensure the curriculum remains relevant and up-to-date.
  • Create instructional materials, including presentations, slides, exercises, assessments, and other learning resources.
  • Provide expert guidance and support throughout the curriculum development process, offering insights and recommendations to enhance the quality and effectiveness of the educational content.
  • Optional: Adapt and integrate pre-existing materials or underlying content related to Generative AI into the curriculum framework, if applicable.

Qualifications:
  • Demonstrated expertise in Generative AI, with a strong understanding of underlying concepts, methodologies, and applications.
  • Proven experience in developing educational content, curriculum, or training materials related to AI.
  • Excellent communication skills, with the ability to convey complex concepts in a clear and engaging manner.
  • Strong research skills, with the ability to stay updated on the latest developments and advancements in the field of Generative AI.
  • Collaborative mindset, with the ability to work effectively with cross-functional teams and stakeholders.
  • Flexibility and adaptability to accommodate evolving project requirements and priorities.
  • Experience with instructional design principles and methodologies is a plus.
How to Apply:

Interested individuals should send their resume, with a focus on their experience and knowledge in Generative AI, as well as their training experience, including developing courses, e-learning, and self-paced courses. Please include any relevant samples or portfolios showcasing previous work in these areas.