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Remote Generative Ai Jobs (NOW HIRING)

Remote About the Role * Peraton is seeking an experienced Generative AI Specialist to support high-impact Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for ...

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Conduct research on emerging generative AI techniques, foundation models, and best practices ...

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... week remote schedule and flexible hours for better work/life balance in our New York office ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... week remote schedule and flexible hours for better work/life balance in our New York office ● ...

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ...

AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives. * * Design and lead AI architecture for business use cases

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... or comparable generative AI ecosystems). * Deep expertise in cloud platforms, particularly ...

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Remote Generative Ai information

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$16K

$148.2K

$191K

How much do remote generative ai jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote generative ai in the United States is $148,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What are some 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 are the key skills and qualifications needed to thrive as a Remote Generative AI Specialist, and why are they important?

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.

Is generative AI a good career?

A career in generative AI offers opportunities in developing and deploying AI models, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with high demand for expertise, making it a promising option for those interested in AI technology and innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such roles are rare and generally found in large tech companies or specialized AI firms.

Which 3 jobs will survive AI?

For a Remote Generative AI role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative content creators, and AI trainers or annotators. These roles involve nuanced decision-making, understanding context, and overseeing AI outputs, which are difficult to fully automate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in AI-related fields.

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.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs typically require strong skills in machine learning, programming, and familiarity with AI tools, and often involve collaboration through online platforms. Many companies offer flexible schedules and remote work arrangements for AI specialists.

What is a Remote Generative AI job?

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.
More about Remote Generative Ai jobs
What cities are hiring for Remote Generative Ai jobs? Cities with the most Remote Generative Ai job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Remote Generative Ai jobs? States with the most job openings for Remote Generative Ai jobs include:
Infographic showing various Remote Generative Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $148,233 per year, or $71.3 per hour.
Generative AI Expert (Remote)

Generative AI Expert (Remote)

LearnQuest

Philadelphia, PA • On-site, Remote

Full-time

Re-posted 2 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.