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Remote Generative Ai Jobs (NOW HIRING)

Interon IT Solutions

AI Product Owner

Chantilly, VA · Remote

Remote Employment Type: W2 Industry: Healthcare We are seeking an experienced AI Product Owner to ... Lead AI product initiatives involving Generative AI, Large Language Models (LLMs), Machine Learning ...

Undisclosed

AI Engineer-Agentic AI

Chicago, IL · Remote

$85K - $130K/yr

Stay current with the latest advancements in Generative AI, Agentic AI, and LLM technologies ... Fully remote work environment. * Competitive salary based on experience. * Flexible work schedule.

SolGenie

AI Lead With SAP Background

$104K - $138K/yr

Torrance, CA (Remote) Duration: 6+ Months Job Summary * We are seeking a hands-on AI Lead / Lead Generative AI Engineer with a strong SAP background to design, build, and deploy enterprise-grade ...

Legrand North America

Lead AI Engineer

$104K - $138K/yr

This is a remote position. This is a senior, hands-on leadership role at the intersection of ... Collaborate with the Director of Generative AI to design end-to-end AI solution architectures ...

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Develop generative AI solutions for text generation, summarization, audio-to-text transcription ...

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation and advanced data processing. Responsibilities:

Team Red Dog

AI Prompt Engineer

Redmond, WA · Remote

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ...

Azumo

Data Scientist, Applied AI - Remote

The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ... Generative AI space, this role is perfect for you. We are seeking a skilled professional with ...

US Ghost Adventures

AI Content Creation

Houston, TX · Remote

$42K/yr

... Generative AI & Content Design) Company: US Ghost Adventures & Tourismo Job Type: Full-Time Department: Creative Team Salary: $42,000 / year + insurance + PTO + sick + holiday Location: Remote from ...

US Ghost Adventures

AI Content Creation

Houston, TX · On-site +1

$42K/yr

... Generative AI & Content Design) Company: US Ghost Adventures & Tourismo Job Type: Full-Time Department: Creative Team Salary: $42,000 / year + insurance + PTO + sick + holiday Location: Remote from ...

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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:
What job categories do people searching Remote Generative Ai jobs look for? The top searched job categories for Remote Generative Ai jobs are:
Remote Generative Ai jobs near you
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.

AI Product Owner

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Posted 9 days ago

Job description

AI Product Owner – Healthcare

Location: Remote
Employment Type: W2
Industry: Healthcare

Job Description

We are seeking an experienced AI Product Owner to lead the strategy, development, and delivery of AI-driven products and solutions within a large healthcare environment.

The ideal candidate will have strong experience in Product Ownership, Artificial Intelligence, Generative AI, and healthcare technology. This role will work closely with business stakeholders, clinical teams, data scientists, AI/ML engineers, architects, and engineering teams to translate healthcare business needs into scalable AI product solutions.

Key Responsibilities

  • Define and own the AI product vision, roadmap, and strategy aligned with healthcare business objectives.
  • Partner with business, clinical, technology, and data teams to identify high-value AI and Generative AI use cases.
  • Translate business requirements into clear product requirements, user stories, features, and acceptance criteria.
  • Own and prioritize the product backlog based on business value, technical feasibility, risk, and customer impact.
  • Lead AI product initiatives involving Generative AI, Large Language Models (LLMs), Machine Learning, NLP, and intelligent automation.
  • Collaborate with AI/ML engineers, data scientists, and architects throughout the AI product development lifecycle.
  • Support the development of AI agents, conversational AI, copilots, and workflow automation solutions.
  • Identify opportunities to improve member experience, patient engagement, clinical workflows, healthcare operations, and employee productivity using AI.
  • Define product KPIs and measure AI solution performance, adoption, accuracy, business value, and user experience.
  • Facilitate product discovery sessions, stakeholder workshops, backlog refinement, sprint planning, and product demonstrations.
  • Ensure AI solutions follow healthcare data privacy, security, and compliance requirements, including HIPAA and enterprise AI governance standards.
  • Partner with Responsible AI, Legal, Compliance, Security, and Data Governance teams to manage AI-related risks.
  • Support AI model evaluation, human-in-the-loop processes, feedback mechanisms, and continuous product improvement.
  • Drive Proof of Concept (POC), Minimum Viable Product (MVP), pilot, and enterprise-scale AI product implementations.
  • Manage cross-functional dependencies and communicate product status, risks, priorities, and roadmaps to leadership.
  • Stay current with emerging AI technologies and identify opportunities to integrate new AI capabilities into healthcare products and platforms.

Required Qualifications

  • 10+ years of experience in Product Management, Product Ownership, Business Analysis, or Digital Product Development.
  • 3+ years of experience supporting AI, Machine Learning, Data, Automation, or Generative AI products.
  • Strong understanding of Generative AI, LLMs, NLP, Machine Learning, and AI product development concepts.
  • Experience defining product roadmaps, managing product backlogs, and writing detailed user stories and acceptance criteria.
  • Strong experience working in Agile/Scrum environments.
  • Experience collaborating with Data Science, AI/ML Engineering, Data Engineering, and Cloud teams.
  • Strong stakeholder management and communication skills.
  • Ability to translate complex AI and technical concepts into clear business outcomes.
  • Experience with tools such as Jira, Confluence, Azure DevOps, or similar product management platforms.

Preferred Qualifications

  • Experience within the healthcare, health insurance, provider, or managed care industry.
  • Understanding of healthcare business processes, clinical workflows, member services, or healthcare operations.
  • Knowledge of HIPAA, healthcare data privacy, AI governance, and Responsible AI principles.
  • Experience with LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, or Conversational AI.
  • Exposure to cloud AI platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
  • Experience launching enterprise AI products from POC through production implementation.
  • Product Owner or Agile certifications such as CSPO, SAFe POPM, or PSPO are preferred.