AI Data Quality Engineer.
Seattle.
$167,000
median salary, 19% above the national average
$125,000 to $220,000. Last updated April 2026.
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Data points to own the conversation.
AI Data Quality Engineer pay in Seattle ranges from $125,000 to $220,000 in 2026. The median is $167,000, 19% above the national average. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $150,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$109,000
to $134,000
Mid (3-5 yrs)
$142,000
to $175,000
Senior (6-9 yrs)
$184,000
to $217,000
Lead (10+ yrs)
$209,000
to $259,000
Salary trend
+10% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $77,000 to the total package.
Base
$167,000
Equity
$47,000
Bonus
$20,000
Signing
$10,000
Estimated total: $244,000
How Seattle compares
Seattle, WA
$167,000
Cost of living: 24% above average
National Average
$140,000
Seattle is $27,000 above
AI Data Quality Engineer salary by city
Salary by role in Seattle
What you should know
Before you negotiate a AI Data Quality Engineer offer in Seattle, understand the terrain. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. The presence of major tech headquarters drives some of the highest engineering salaries outside the Bay Area. Seattle's job market is particularly strong for cloud infrastructure, machine learning, and enterprise software roles. AI data quality engineers ensure training and serving data meets standards for ML model reliability. Salary is driven by experience with data validation frameworks, drift detection systems, and automated quality monitoring at scale. Engineers working in regulated industries like healthcare and finance earn 12 to 20% premiums due to compliance requirements.
Junior AI data quality engineers earn $105,000 to $125,000. Engineers with 3 to 5 years of ML data quality experience reach $140,000 to $185,000. Senior engineers and quality team leads earn $190,000 to $248,000, while directors of data quality at enterprise AI companies can command $255,000 to $330,000. In Seattle, those numbers run higher. The cost of living here is 24% above average, and employers adjust to compete.
Base salary is not the full picture. Tech companies provide equity grants of 12 to 22% of base salary. Bonuses range from 10 to 15% annually. Some firms offer additional compensation for maintaining critical data quality SLAs, adding $5,000 to $12,000 for on-call responsibilities. And on the tax side: washington State has no personal income tax, which significantly boosts take home pay. However, state and local sales taxes are among the highest in the country at roughly 10.25%. When someone quotes you $167,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Remind employers that no state income tax makes your effective compensation higher. You can accept a slightly lower gross salary and still take home more than in California. The range for AI Data Quality Engineers in Seattle runs from $125,000 to $220,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Data Scientist in Seattle earns $168,000 (1% more)
- The highest-paying role in Seattle is Chief AI Officer at $377,000
Common questions.
AI Data Quality Engineer salary in other cities
Other salaries in Seattle
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