What should I ask about benefits when interviewing for a AI Data Quality Engineer in Seattle?

Ask about equity, bonuses, 401(k), health insurance, PTO, and remote flexibility. Benefits in Seattle can add $43,500+ to base salary.

What certifications help AI Data Quality Engineers earn more in Seattle?

Certifications add 5 to 15% to AI Data Quality Engineer salaries in Seattle. They help bridge the gap between the median of $174,000 and the 75th percentile of $229,000.

How fast are AI Data Quality Engineer salaries growing in Seattle?

AI Data Quality Engineer salaries in Seattle trend upward. The 2026 range is $130,000 to $229,000.

What does total compensation look like for a AI Data Quality Engineer in Seattle?

Tech companies provide equity grants of 12 to 22% of base salary. Base salaries in Seattle range from $130,000 to $229,000.

AI Data Quality Engineer.

Q: Do AI Data Quality Engineers in Seattle earn overtime or bonuses?

Many AI Data Quality Engineers are exempt from overtime. Tech companies provide equity grants of 12 to 22% of base salary. Ask about total comp when evaluating offers.

Seattle.

$174,000

median salary, 24% above the national average

$130,000 to $229,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

AI Data Quality Engineer pay in Seattle ranges from $130,000 to $229,000 in 2026. The median is $174,000, 24% 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

25th Percentile

$130,000

per year

Median

$174,000

per year

75th Percentile

$229,000

per year

Tap to place your salary

$130,000$229,000

How Seattle compares

Seattle, WA

$174,000

Cost of living: 24% above average

National Average

$140,000

Seattle is $34,000 above

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 $174,000, 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 $130,000 to $229,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Seattle

Cloud ComputingE-CommerceAerospaceGamingArtificial Intelligence

Negotiating in Seattle

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.

Common questions.

Data quality is widely recognized as the most impactful factor in ML model performance, which is driving salary growth of 12 to 18% annually for this role. Companies that have experienced model failures due to data issues are especially willing to invest in quality engineering talent.

Great Expectations, Deequ, and TensorFlow Data Validation are foundational tools. Experience with custom drift detection, schema validation, and automated anomaly detection in data pipelines adds 8 to 15% to salary offers. Familiarity with data observability platforms like Monte Carlo is also valued.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Tech companies provide equity grants of 12 to 22% of base salary. In Seattle's market, these extras can add $43,500 or more on top of the base salary.

Relevant certifications can add 5 to 15% to a AI Data Quality Engineer's base salary in Seattle. Specifically, ai data quality engineers ensure training and serving data meets standards for ml model reliability. In a market where the range spans $130,000 to $229,000, certifications often bridge the gap between the 50th and 75th percentile.

AI Data Quality Engineer compensation in Seattle has trended upward as demand outpaces supply. The 2026 range of $130,000 to $229,000 reflects a market that rewards specialization. AI data quality engineers ensure training and serving data meets standards for ML model reliability.

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. In Seattle's market, the base range of $130,000 to $229,000 is just the starting point for negotiation.

It depends on the position and employer. Many AI Data Quality Engineers in Seattle are classified as exempt salaried employees without overtime eligibility. However, tech companies provide equity grants of 12 to 22% of base salary. When evaluating the $130,000 to $229,000 range, ask about the total compensation structure during negotiation.