AI Data Quality Engineer.
Washington DC.
$177,000
median salary, 26% above the national average
$133,000 to $234,000. Last updated April 2026.
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Data points to own the conversation.
The median AI Data Quality Engineer salary in Washington DC is $177,000, 26% above the national average. Entry level starts near $133,000. Experienced professionals push past $234,000. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $159,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$115,000
to $142,000
Mid (3-5 yrs)
$150,000
to $186,000
Senior (6-9 yrs)
$195,000
to $230,000
Lead (10+ yrs)
$221,000
to $274,000
Salary trend
+10% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $82,000 to the total package.
Base
$177,000
Equity
$50,000
Bonus
$21,000
Signing
$11,000
Estimated total: $259,000
How Washington DC compares
Washington DC, DC
$177,000
Cost of living: 25% above average
National Average
$140,000
Washington DC is $37,000 above
AI Data Quality Engineer salary by city
Salary by role in Washington DC
What you should know
If you are interviewing for AI Data Quality Engineer roles in Washington DC, here is what you are walking into. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. The region's stability, combined with high government pay scales, creates a salary floor that pulls private sector compensation upward. 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 Washington DC, those numbers run higher. The cost of living here is 25% 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: dC income tax rates reach 10.75% for high earners. Maryland and Virginia residents working in DC face their own state taxes. Choose your residence jurisdiction carefully to optimize net pay. When someone quotes you $177,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: A security clearance is your strongest negotiation asset. Cleared professionals in DC command 20 to 30% premiums, and transferring your clearance to a new employer saves them significant time and cost. The range for AI Data Quality Engineers in Washington DC runs from $133,000 to $234,000. 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 Design Engineer in Washington DC earns $176,000 (1% less)
- The highest-paying role in Washington DC is Chief AI Officer at $395,000
Common questions.
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