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Ai Model Jobs in Bothell, WA (NOW HIRING)

On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a ...

On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a ...

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

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Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

... models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and foundation ... AI Agent & LLM Engineering • Design and build multi-agent systems, orchestration layers, and ...

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 ...

SDE, AI Infrastructure, AFT AI

Bellevue, WA · On-site

$195K - $231K/yr

As part of AFT AI, we are on a mission to build a new generation of dynamic end-to-end agentic ... These models will be able to understand and make use of petabytes of human-centered as well as ...

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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 Jul 7, 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 job makes AI models?

Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.

How to become an AI model?

To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.

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.

How much do AI models get paid?

AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.

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 are AI models?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
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 July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 68% In-person, 6% Hybrid, and 26% Remote job distribution, with an average salary of $72,937 per year, or $35.1 per hour.
Software Engineer - AI Trainer

Software Engineer - AI Trainer

micro1 AI

Seattle, WA • Remote

$100 - $230/hr

Part-time

Posted 27 days ago


Job description

Job Title: Software Engineering


Job Type: Contractor (10-15 hours per week)

Location: Remote


Job Summary:


We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.


On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a reproducible RL env in which a known CVE is present/injected in the repository and must be fixed by the model.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.


Required Skills and Qualifications:


  1. 3+ years of hands-on software engineering experience.
  2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, , Java, C++, Go or Rust
  3. A Cybersecurity/SecOps background or exposure is highly preferred
  4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
  5. Ability to explain complex engineering decisions clearly and objectively.
  6. Comfortable reading and reasoning through unfamiliar code or technical requirements


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.