ZipRecruiter

Log In

2

Remote Generative Ai Jobs (NOW HIRING)

Georgia IT Inc

Generative AI Architect - Remote

Allentown PA(Remote) Generative AI Architect The Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company ...

Genesis10

Generative AI Engineer - Remote

Genesis10 is currently seeking a Generative AI Engineer for a Regional Financial Institution located in Green Bay, WI. This expert-level role focuses on building production-grade Generative AI ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Annotator

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

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 ...

Innodata Inc.

Generative AI Specialist

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

Peraton

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 ...

next page

Showing results 1-20

All JobsRemote Generative Ai Jobs

Remote Generative Ai information

See salary details

$16K

$148.2K

$191K

How much do remote generative ai jobs pay per year?

As of Jun 26, 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.

Which 3 jobs will survive AI?

For remote generative AI roles, jobs that require complex human judgment, creativity, and emotional intelligence are most likely to survive AI automation. These include roles like AI ethicists, creative professionals, and AI system trainers who need specialized skills, domain expertise, and critical thinking. Such jobs often involve oversight, nuanced decision-making, and interpersonal skills that are difficult for AI to replicate fully.

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 is a $900,000 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, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Can you work in AI remotely?

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

How can I make 2000 a week working from home?

Remote Generative AI roles can offer high earning potential through freelance projects, consulting, or full-time positions that pay based on project scope or hourly rates. Building specialized skills in AI, machine learning, and natural language processing, along with a strong portfolio and proficiency with tools like Python and TensorFlow, can help increase earning capacity to reach or exceed $2000 weekly. Consistent work, networking, and staying updated on industry demand are key factors in achieving this income level remotely.

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 June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $148,233 per year, or $71.3 per hour.
Generative AI Architect - Remote

Generative AI Architect - Remote

Georgia IT Inc

Remote

Other

Posted 3 days ago

Job description

Position: Generative AI Architect
Location: Allentown PA(Remote)
Generative AI Architect
The Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities
  • Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
  • Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation.
  • Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
  • Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
  • Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency.
  • Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy.
  • Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
  • Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards.
  • Security: Ensure that generative AI systems comply with security protocols and data protection regulations.
  • Mentorship: Provide guidance and mentorship to junior team members and foster a culture of continuous learning within the AI team.

Qualifications
Education:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.
Experience:
  • Minimum of 5 years of experience in AI/ML architecture or a related role.
  • Proven experience in designing and deploying generative AI models and solutions.
  • Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
Technical Skills:
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Knowledge of API development and integration.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
Soft Skills:
  • Excellent problem-solving and analytical abilities.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

"MUST HAVE" Skills
  • Experienced and proven track record with analyzing GenAI requirements and proposing GenAI architecture solution that applies to use case and available data. Preferably using resources available in Azure.
  • Experience with data sources used for GenAI ingestion like Sharepoint Online, Azure Blob Storage, Snowflake, Databricks.
  • Experience with Microsoft 365 Copilot and Custom Copilots.
  • Must possess expertise in prompt engineering
  • Knowledge and experience with latest GenAI solutions, practices and standards,
  • Must possess strong communication skills to be able to convey the intricacies of current GenAI architecture solutions to different audiences.
  • Knowledge and experience with GenAI testing processes and implementation
  • Knowledge and experience with latest GenAI "responsible AI" tools and implementation.
  • A tactical AND strategic mindset to delivering GenAI solution architectures so they can be easily adapted as the technology evolves.
Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

Facebook

View All Georgia IT Jobs

Apply