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Ai Model Jobs in Bothell, WA (NOW HIRING)

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

Develop, refine, and evaluate prompts for AI models. * Conduct quality assurance and rubric-based evaluations of AI-generated outputs. * Annotate data, interpret findings, and perform fact-checking ...

Develop, refine, and evaluate prompts for AI models. * Conduct quality assurance and rubric-based evaluations of AI-generated outputs. * Annotate data, interpret findings, and perform fact-checking ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Key Responsibilities:

This role involves applying large language models, retrieval-augmented generation, multi-agent ... Build AI-powered automation for privacy operations including intelligent data subject request ...

Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills * Critical Thinking * Analytical Reasoning * Quality Assurance * Prompt Engineering * AI Output ...

Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills * Critical Thinking * Analytical Reasoning * Quality Assurance * Prompt Engineering * AI Output ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Implement structured prompting, decision workflows, and tool orchestration -- including MCP (Model ... Build AI-powered automation for privacy operations including intelligent DSR routing, threshold ...

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Ai Model information

See Bothell, WA salary details

$11

$35

$74

How much do ai model jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ai model in Bothell, WA is $35.07, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $43.80 per hour, depending on experience, location, and employer.

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Bothell, WA?

For Ai Model jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Ai Model jobs in Bothell, WA look for?

The top searched job categories for Ai Model jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Ai Model jobs?

Cities near Bothell, WA with the most Ai Model job openings:

Infographic showing various Ai Model job openings in Bothell, WA as of August 2026, with employment types broken down into 2% Internship, 63% Full Time, 18% Part Time, and 17% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $72,937 per year, or $35.1 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

Seattle, WA • Remote

$100 - $200/hr

Part-time

Posted 9 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.