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Artificial Intelligence Jobs in Renton, WA (NOW HIRING)

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

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Artificial Intelligence information

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$12.4K

$115.8K

$149.6K

How much do artificial intelligence jobs pay per year?

As of Jul 8, 2026, the average yearly pay for artificial intelligence in Renton, WA is $115,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Specialist, and why are they important?

To thrive as an Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by relevant degrees or certifications. Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with data processing tools are typically required. Critical thinking, innovation, and effective communication are essential soft skills that set top professionals apart in this field. These skills and qualities are crucial for designing robust AI solutions, collaborating across teams, and adapting to the rapidly evolving AI landscape.

What are the jobs in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What is an entry level job in AI?

An entry-level job in AI typically involves roles such as AI analyst, data analyst, or junior machine learning engineer. These positions often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and sometimes a relevant degree or certification. They provide opportunities to gain practical experience and develop skills in AI development and data analysis.

What Is the Job Outlook for Careers in Artificial Intelligence?

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This is almost twice the average growth rate for all trades. Not all of these jobs involve artificial intelligence, but many of them do, and that number should increase over time.

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 researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects the expertise, impact, and complexity of the work involved.

What are Artificial Intelligence jobs?

Artificial Intelligence (AI) jobs involve creating, developing, and implementing computer systems that can perform tasks typically requiring human intelligence. These roles can include data scientists, machine learning engineers, AI researchers, and AI product managers. Professionals in these positions work on areas such as natural language processing, computer vision, robotics, and deep learning. AI jobs require strong backgrounds in computer science, mathematics, and programming, and are in high demand across industries like technology, healthcare, finance, and automotive.

What types of jobs are in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What are some common challenges faced by professionals working in Artificial Intelligence roles, and how can they be addressed?

Professionals in Artificial Intelligence often face challenges such as keeping up with rapidly evolving technologies, managing large and complex datasets, and ensuring the ethical use of AI systems. Collaboration with data engineers, domain experts, and ethicists is crucial to overcome these hurdles. Continuous learning through courses, workshops, and industry conferences helps AI specialists stay updated, while strong communication skills aid in translating technical findings for stakeholders and integrating AI solutions effectively into business processes.

What is the difference between Artificial Intelligence vs Data Scientist?

AspectArtificial IntelligenceData Scientist
Required CredentialsTypically degrees in Computer Science, AI, or related fields; certifications in machine learning or AI toolsDegrees in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups, often focused on developing algorithms and modelsBusiness environments, analytics firms, tech companies, focusing on data analysis and insights
Employer & Industry UsageUsed across tech, healthcare, finance, and automotive industries for developing intelligent systemsUsed in finance, marketing, healthcare, and tech for data analysis, predictive modeling, and decision support

Artificial Intelligence professionals focus on creating intelligent systems and algorithms, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but AI emphasizes developing models, whereas Data Scientists focus on interpreting data to inform decisions.

More about Artificial Intelligence jobs
What are the most commonly searched types of Artificial Intelligence jobs in Renton, WA? The most popular types of Artificial Intelligence jobs in Renton, WA are:
What are popular job titles related to Artificial Intelligence jobs in Renton, WA? For Artificial Intelligence jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence jobs in Renton, WA look for? The top searched job categories for Artificial Intelligence jobs in Renton, WA are:
What cities near Renton, WA are hiring for Artificial Intelligence jobs? Cities near Renton, WA with the most Artificial Intelligence job openings:
Artificial Intelligence jobs near you
Infographic showing various Artificial Intelligence job openings in Renton, WA as of July 2026, with employment types broken down into 59% Full Time, 20% Part Time, 8% Temporary, and 13% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $115,787 per year, or $55.7 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Staffingine LLC

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Posted yesterday

Job description

Job Title: Artificial Intelligence Engineer
Job Location: Bellevue - Washington
Job Type: Contract

Job Description:

  • Lead the development and deployment of machine learning models and analytical solutions for business problems.
  • Partner with stakeholders to identify opportunities for data science to add value.
  • Design experiments and AB tests to evaluate product and feature performance.
  • Build predictive models optimization algorithms or forecasting systems as needed.
  • Analyze large complex datasets to derive actionable insights.
  • Communicate technical findings clearly to nontechnical audiences.
  • Mentor and support junior data scientists and analysts.
  • Ensure best practices in code documentation and reproducibility.

Required Qualification

  • Masters or PhD in Computer Science Statistics Mathematics or a related field.
  • Proficiency in Python or R and strong SQL skills.
  • Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch.
  • Strong knowledge of statistics experimental design and causal inference.
  • Handson experience with data visualization tools eg Tableau Plotly Dash.
  • Ability to translate business questions into analytical problems.
  • Excellent communication and collaboration skills.

Mandatory Skills : Python - Data Science