AI Data Specialist Jobs in Washington
AI Data Specialist jobs in Washington are among the most active in the country, concentrated in technology, cloud computing, healthcare informatics, and defense contracting, with openings at the entry, mid, and senior levels. Seattle and Bellevue anchor the majority of hiring, with Redmond and Tacoma adding steady volume, and employers such as Microsoft, Amazon, and Boeing maintain lasting demand for professionals who can build and manage data pipelines, train machine learning models, and interpret large-scale datasets. The most sought-after specialties in Washington are machine learning operations, natural language processing, and data annotation quality assurance. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 12+ AI Data Specialist jobs
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
Experience working with and analyzing data, and managing multiple projects. -
Preferred qualifications:
- Master's degree or PhD.
- Experience with R, SQL, spreadsheets, or similar analytics tools.
- Experience working with product and engineering teams.
- Experience with Infrastructure, Cloud, and Enterprise/B2B businesses.
- Excellent written and verbal communication skills.
About the job
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
The Artificial Intelligence and Infrastructure (AI2) Organization is responsible for delivering Compute, platforms and tools powering Google's AI-first products, research, and cloud at scale, performance, reliability and efficiency years ahead of what is possible anywhere else in the world. The organization is foundational to maintaining Alphabet’s leadership in Artificial Intelligence. The team works on some of the most exciting, leading edge, and complex technologies in the world on the planet.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify problems and issues across the organization and define/lead programs and processes to solve them.
- Influence team members and executive management to act and drive projects to completion.
- Establish and lead operating processes and tools for effectively managing the organization and achieving goals.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
Experience working with and analyzing data, and managing multiple projects. -
Preferred qualifications:
- Master's degree or PhD.
- Experience with R, SQL, spreadsheets, or similar analytics tools.
- Experience working with product and engineering teams.
- Experience with Infrastructure, Cloud, and Enterprise/B2B businesses.
- Excellent written and verbal communication skills.
About the job
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
The Artificial Intelligence and Infrastructure (AI2) Organization is responsible for delivering Compute, platforms and tools powering Google's AI-first products, research, and cloud at scale, performance, reliability and efficiency years ahead of what is possible anywhere else in the world. The organization is foundational to maintaining Alphabet’s leadership in Artificial Intelligence. The team works on some of the most exciting, leading edge, and complex technologies in the world on the planet.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify problems and issues across the organization and define/lead programs and processes to solve them.
- Influence team members and executive management to act and drive projects to completion.
- Establish and lead operating processes and tools for effectively managing the organization and achieving goals.
See All 12 AI Data Specialist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Data Specialist JobsAI Data Specialist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Data Specialist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
What Washington Employers Look For
The qualifications that appear most often in AI data specialist jobs across Washington.
- Bachelor's or master's degree in computer science, data science, or a related field
- Hands-on experience with Python, SQL, and machine learning frameworks such as TensorFlow or PyTorch
- Demonstrated ability to label, clean, and validate large structured and unstructured datasets
- Familiarity with cloud data platforms including AWS, Microsoft Azure, or Google Cloud
- Experience collaborating with engineering and product teams in an agile development environment
- Strong written and verbal communication skills for documenting models and presenting findings
AI Data Specialist Jobs in Washington: Frequently Asked Questions
How do you become a ai data specialist in Washington?
Most Washington employers expect a bachelor's degree in data science, computer science, statistics, or a closely related field, though a strong portfolio of projects can sometimes substitute at junior levels. Washington does not require a state-issued license for this role. The practical path is to build skills in Python, SQL, and a machine learning framework, complete a capstone or independent project, and target entry-level data analyst or data annotation roles at Washington's large technology and aerospace employers to gain professional experience.
How much do AI data specialists make in Washington?
AI data specialists in Washington earn a median of about $163,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,930 for the lowest 10% to over $220,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data specialists in Washington?
Companies currently hiring ai data specialists in Washington include Amazon Web Services, Amazon, and Google, per current listings on Migrate Mate as of November 2026. Washington's dense concentration of technology headquarters and cloud-computing divisions means demand is spread across both global corporations and well-funded regional startups.
Which Washington cities have the most ai data specialist jobs?
Seattle, Bellevue, and Bothell have the most ai data specialist openings in Washington. Seattle and Bellevue dominate because they are home to the headquarters and major campuses of the state's largest technology companies, while Redmond's concentration of Microsoft operations and Tacoma's growing healthcare and logistics sectors add consistent hiring volume outside the core Seattle metro.
Are there remote ai data specialist jobs in Washington?
Yes, and more than most fields. About 100% of ai data specialist openings tied to Washington are remote or hybrid as of November 2026, reflecting the desk-based and software-driven nature of the work. Data labeling, model evaluation, and pipeline development are the sub-functions most commonly offered fully remotely, particularly through Washington's large cloud and platform teams.
How can I get hired as a ai data specialist in Washington with little or no experience?
The most realistic entry path is targeting data annotation specialist or junior data analyst roles, which Washington technology employers such as Microsoft and Amazon use as entry points into larger AI and machine learning teams. Building a portfolio that demonstrates dataset cleaning, model evaluation, or annotation quality work carries significant weight. Certificate programs through Washington community colleges or the University of Washington's professional and continuing education division can strengthen a candidacy, and lateral moves from roles such as data entry analyst or business intelligence associate are a recognized internal pipeline at several large Washington employers.
Where can I find and apply to ai data specialist jobs in Washington?
You can find and apply to ai data specialist jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the listings for roles that match your experience level and specialization, then apply directly to whichever positions fit your background.
See All 12 AI Data Specialist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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