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Remote Generative Ai Jobs in Boise, ID (NOW HIRING)

nLeague

AI Architect

Boise, ID · Remote

$64.50 - $85/hr

AI Architect Location: Remote, 450 W State St, Boise, ID. 83720 Job Id: 797824 Client: ID - DHW ... detection, and generative AI features. * Design and orchestrate Azure AI Foundry solutions ...

Trilyon, Inc.

AI Architect - Remote

Boise, ID · Remote

Boise, ID (Remote) Duration: 12+ Months Contract We are looking for a highly skilled AI Solutions ... and generative AI features. * Design and implement Azure AI Foundry (Azure AI Studio) solutions ...

Columbia Banking System, Inc.

Senior IT Auditor

Boise, ID · On-site +1

$89K - $117K/yr

Proven commitment to continuous learning, ability to work as part of a team using remote ... Data analytics and visualization, automation, and generative artificial intelligence (Gen AI ...

All JobsGenerative Ai JobsRemote Generative Ai JobsRemote Generative Ai Jobs in Boise, ID

Remote Generative Ai information

See Boise, ID salary details

$15.2K

$141.1K

$181.8K

How much do remote generative ai jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote generative ai in Boise, ID is $141,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,500.00 and $159,400.00 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 Boise, ID?

The most popular types of Generative Ai jobs in Boise, ID are:

What are popular job titles related to Remote Generative Ai jobs in Boise, ID?

For Remote Generative Ai jobs in Boise, ID, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai jobs in Boise, ID look for?

The top searched job categories for Remote Generative Ai jobs in Boise, ID are:

What cities near Boise, ID are hiring for Remote Generative Ai jobs?

Cities near Boise, ID with the most Remote Generative Ai job openings:

Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Boise, ID as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $141,082 per year, or $67.8 per hour.

Research Intern on Generative and Protective AI for Content Creation

Meridian, ID • On-site, Remote

Sony
Appliances and Electrical and Electronics Wholesalers • 10K+ employees
Learn more about Sonyexternal

$50/hr

Full-time

Re-posted yesterday

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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