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  1. Home/
  2. Salary/
  3. AI Data Quality Engineer/
  4. Los Angeles

AI Data Quality Engineer.

Los Angeles.

$165,000

median salary, 18% above the national average

$124,000 to $218,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Los Angeles is 18% more expensive than the national average. For AI Data Quality Engineers, that shakes out to a median of $165,000, with the full range spanning $124,000 to $218,000. AI data quality engineers ensure training and serving data meets standards for ML model reliability. Know the range before you walk in.

Salary range

25th Percentile

$124,000

per year

Median

$165,000

per year

75th Percentile

$218,000

per year

Tap to place your salary

$124,000$218,000

How Los Angeles compares

Los Angeles, CA

$165,000

Cost of living: 18% above average

National Average

$140,000

Los Angeles is $25,000 above

What you should know

Here is what the AI Data Quality Engineer market actually looks like in Los Angeles. Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. The city's diverse economy spans aerospace, healthcare, fashion, and gaming. LA offers strong salaries that, while below San Francisco levels, pair with a broader lifestyle appeal and lower housing costs relative to the Bay Area. 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 Los Angeles, those numbers run higher. The cost of living here is 18% 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: california's 13.3% top state income tax rate applies to LA earners as well. There is no city income tax, but the high state rate makes take home pay lower than cities in no income tax states. When someone quotes you $165,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight cross industry skills. LA employers value candidates who bridge entertainment and tech, so framing your experience across verticals can unlock higher offers. The range for AI Data Quality Engineers in Los Angeles runs from $124,000 to $218,000. 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 Los Angeles

Entertainment & MediaAerospace & DefenseTechnologyHealthcareFashion

Negotiating in Los Angeles

Highlight cross industry skills. LA employers value candidates who bridge entertainment and tech, so framing your experience across verticals can unlock higher offers.

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.

In 2026, the average AI Data Quality Engineer salary in Los Angeles, CA is $165,000. The 25th percentile sits at $124,000 and the 75th percentile reaches $218,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

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. In Los Angeles, these factors can push compensation from the 25th percentile of $124,000 to the 75th percentile of $218,000 or beyond.

Entry level AI Data Quality Engineer positions in Los Angeles typically start near $124,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $165,000. Junior AI data quality engineers earn $105,000 to $125,000.

Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. The city's diverse economy spans aerospace, healthcare, fashion, and gaming. For AI Data Quality Engineers specifically, the median salary of $165,000 reflects that demand.

AI Data Quality Engineer compensation in Los Angeles has trended upward as demand outpaces supply. The 2026 range of $124,000 to $218,000 reflects a market that rewards specialization. AI data quality engineers ensure training and serving data meets standards for ML model reliability.

AI Data Quality Engineer salary in other cities

Austin$144,000
Atlanta$143,000
Boston$171,000
Chicago$150,000
Charlotte$136,000
Columbus$130,000

Other salaries in Los Angeles

UX Designer$124,000
Urban Planner$85,000
Unstructured Data Engineer$179,000
Veterinarian$132,000

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