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Learning Ai Jobs in Renton, WA (NOW HIRING)

Siemens

Principal Applied Scientist

Bellevue, WA · On-site

Required : • 8+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact • Strong foundation in machine learning theory and ...

Team Red Dog

Scientific Software Engineer

Redmond, WA · On-site

AI, LLMs & Agentic AI (1-2+ years): Working knowledge of large language models, AI agents, APIs, MCP, and machine learning concepts used to develop intelligent software solutions. * Scientific ...

Team Red Dog

Scientific Software Engineer

Redmond, WA · On-site

AI, LLMs & Agentic AI (1-2+ years): Working knowledge of large language models, AI agents, APIs, MCP, and machine learning concepts used to develop intelligent software solutions. * Scientific ...

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How much do learning ai jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for learning ai in Renton, WA is $45.78, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $59.47 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What is a Learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What jobs can I get if I learn AI?

Learning AI can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or AI researcher. These positions typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, and often involve developing algorithms, models, and applications across various industries.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

Can I get paid to learn AI?

Learning AI can be financially supported through internships, apprenticeships, or training programs that offer stipends or salaries. Some companies and educational platforms also provide paid opportunities for gaining skills in AI, machine learning, and data science while working on real projects. However, most formal learning paths require self-investment or sponsorship until you acquire marketable skills for paid roles.

How do Learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

How can I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects using tools like TensorFlow or PyTorch can help build practical skills and improve employability in the field.

What are the key skills and qualifications needed to thrive as a Learning AI Engineer, and why are they important?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.
What job categories do people searching Learning Ai jobs in Renton, WA look for? The top searched job categories for Learning Ai jobs in Renton, WA are:
What cities near Renton, WA are hiring for Learning Ai jobs? Cities near Renton, WA with the most Learning Ai job openings:
Learning Ai jobs near you
Course Author Position: Online Master's Degree in Artificial Intelligence

Course Author Position: Online Master's Degree in Artificial Intelligence

DigiPen Institute of Technology

Redmond, WA • On-site

$10K - $10K/mo

Part-time

Re-posted 22 days ago

Job description

Located in Redmond, Washington, DigiPen Institute of Technology is a private college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master's degree programs in Computer Science and Digital Art.
DigiPen Institute of Technology has been ranked one of the top 5 game design schools in the country by the Princeton Review for more than a decade. To learn more, visit: https://www.digipen.edu/ .
Adjunct Faculty - Course Author Position: Online Master's Degree in Artificial Intelligence
Position Type
Adjunct Faculty as Course Authors for the program.
Position Overview
DigiPen is seeking experienced and passionate practitioners in Artificial Intelligence to develop / author courses for our online Master of Science in Artificial Intelligence (MSAI) program. This is an exciting opportunity to shape the next generation of AI practitioners and contribute to a cutting-edge curriculum that prepares students for leadership roles in the rapidly evolving field of artificial intelligence.
About the Program
Our online MSAI program combines rigorous academic foundations with practical, industry-relevant applications. Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working professionals and recent graduates seeking to advance their careers in AI.
Key Responsibilities
- Course Authoring
  • Collaborate with a professional Instructional Designer to develop engaging, high-quality online instruction in one or more AI-related courses
  • Develop and update course materials, including lectures, tutorials, assignments, projects, and assessments
  • Ensure course content is technically accurate, industry-relevant, and appropriate for an online learning environment

- Course Quality & Alignment
  • Stay current with developments in AI technology, pedagogy, and industry applications
  • Provide periodic updates as necessary to keep the course material current
  • Collaborate with faculty colleagues to maintain curriculum quality and coherence
  • Contribute to program assessment and continuous improvement efforts

Required Qualifications
  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
  • Minimum 4 years of relevant professional experience in AI/ML (development or applied research)
  • Strong expertise in at least one of the following areas: machine learning, deep learning, natural language processing, computer vision, reinforcement learning, or AI ethics
  • Proficiency with Python and major AI/ML frameworks (PyTorch, TensorFlow, scikit-learn etc.)
  • Excellent communication skills and ability to explain complex technical concepts clearly

Preferred Qualifications
  • Demonstrated teaching experience
  • Experience with online learning platforms and virtual instruction methodologies
  • Experience teaching in online or hybrid learning environments
  • Proven ability to engage and support diverse student populations
  • Published research in AI-related conferences or journals
  • Experience mentoring graduate students or early-career professionals
  • Contributions to open-source AI projects or educational resources
  • Knowledge of current trends in responsible AI and ethical considerations in AI development

Desired Areas of Course Development
  • Foundations of Machine Learning
  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • AI Ethics and Responsible AI
  • Generative AI and Large Language Models
  • AI for Business Applications
  • Advanced Topics in AI Research

Salary Range:
$10,000 - $10,500
Not benefits eligible.
This Course Author job may not align with the academic calendar. The duration of the position may vary, based on rate of progress and time of year, but will typically be five months from start date.
Application Procedure:
Applications should include, or you will be asked to provide, the following:
  • A cover letter
  • Current curriculum vitae / résumé
  • Academic Transcripts of most recently attended educational institutions (unofficial is acceptable for the application, with an official copy requested later)

The following optional materials may be included:
  • Statement of teaching philosophy
  • Copy of most recent teaching evaluations

Upon accepting an offer of employment with us, the candidate will receive an invitation for a required background check, employment verification, and 5-panel drug screen as a part of the hiring process.
Additional Notes:
All Adjunct positions are part-time, temporary assignments, dependent upon student enrollment and instructional needs, and subject to budget consideration and approval. DigiPen Institute of Technology reserves the right to extend application deadlines and/or not to offer advertised positions.
Equal opportunity is a priority of DigiPen Institute of Technology, as the institution is committed to fostering a positive learning environment for all. The Institute's intent is to hire the most qualified individuals for faculty and staff, attracting candidates from diverse backgrounds of race and ethnicity, gender, gender identity, gender expression, sexual orientation, age, socioeconomic status, veteran status, nationality, culture, religion, and physical abilities. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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