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

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 ...

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 ...

Remote Generative Ai information

See Meridian, ID salary details

$15.5K

$143.7K

$185.2K

How much do remote generative ai jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote generative ai in Meridian, ID is $143,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $162,400.00 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.
What are the most commonly searched types of Generative Ai jobs in Meridian, ID? The most popular types of Generative Ai jobs in Meridian, ID are:
What cities near Meridian, ID are hiring for Remote Generative Ai jobs? Cities near Meridian, ID with the most Remote Generative Ai job openings:
Infographic showing various Remote Generative Ai job openings in Meridian, ID as of July 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% Remote job distribution, with an average salary of $143,701 per year, or $69.1 per hour.

AI Architect

nLeague

Boise, ID • Remote

$64.50 - $85/hr

Contractor

Re-posted 11 days ago


Job description

AI Architect

Location: Remote, 450 W State St, Boise, ID. 83720
Job Id: 797824

Client: ID - DHW

Duration: 03+ Months

Job Description:

  • We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem. This role focuses on designing, building, and deploying AI‑powered business applications using Power Apps, AI Builder, Power Automate, and Azure AI Foundry. The ideal candidate blends low‑code solution development with strong technical understanding of modern AI models, data integration, and enterprise architecture.
  • This is a hands‑on role responsible for turning business problems into scalable, secure, AI‑driven applications.

Key Responsibilities

  • Build end‑to‑end business applications using Power Apps (canvas and model‑driven) with integrated AI capabilities.
  • Develop, train, and deploy AI Builder models including document processing, prediction, classification, object detection, and generative AI features.
  • Design and orchestrate Azure AI Foundry solutions, including GPT‑4/4o models, embeddings, vector search, prompt flows, and evaluation pipelines.
  • Integrate Azure AI models with Power Apps and Power Automate using custom connectors, RESTAPIs, and Dataverse.
  • Create secure, governed, and scalable AI architectures aligned with enterprise standards.
  • Implement prompt engineering best practices, including grounding data, safety controls, and iterative evaluation.
  • Collaborate with business stakeholders to translate requirements into AI‑enabled workflows and applications.
  • Apply responsible AI principles, including bias mitigation, data privacy, and model monitoring.
  • Support ALM processes using GitHub or Azure DevOps for Power Platform solutions.
  • Troubleshoot, optimize, and continuously improve AI models and application performance.

Skills & Experience

  • Strong experience building applications with Power Apps, Power Automate, and Dataverse.
  • Hands‑on expertise with AI Builder, including model configuration, training, and deployment.
  • Practical experience with Azure AI Foundry (Azure AI Studio), including:
  • GPT‑4/4o models
  • Embeddings and vector search
  • Prompt flow
  • Cognitive Services (Vision, Language, Speech, Search)
  • Ability to design and consume REST APIs and integrate them into Power Platform solutions.
  • Solid understanding of data preparation, feature engineering, and model evaluation.
  • Familiarity with Power Platform governance, environment strategy, and DLP policies.
  • Working knowledge of Azure security (managed identities, Key Vault, role‑based access).
  • Experience with ALM pipelines for Power Platform (GitHub Actions or Azure DevOps).
  • Scripting experience in Power Fx, JavaScript, and/or Python.