Data Annotation Engineer Salary in California
$50.8K - $63.7K
3% of jobs
$63.7K - $76.5K
9% of jobs
$85.2K is the 25th percentile. Wages below this are outliers.
$76.5K - $89.3K
20% of jobs
$89.3K - $102.1K
4% of jobs
$102.1K - $115K
4% of jobs
$115K - $127.8K
1% of jobs
$127.8K - $140.6K
1% of jobs
$140.6K - $153.5K
0% of jobs
The median wage is $158.8K / yr.
$153.5K - $166.3K
18% of jobs
$166.3K - $179.1K
1% of jobs
$183.7K is the 75th percentile. Wages above this are outliers.
$179.1K - $191.9K
39% of jobs
$50.8K
$155.9K
$193.9K
$145,530
/year
$69.97
/hour
Data Annotation Engineer Salary Comparison by Location
Nationwide
United States
$147,461
California
California
$145,530
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How much does a Data Annotation Engineer make in California?
As of Aug 26, 2026, the average annual pay for a Data Annotation Engineer in California is $145,530 a year.
Just in case you need a simple salary calculator, that works out to be approximately $69.97 an hour. This is the equivalent of $2,798/week or $12,127/month.
While ZipRecruiter is seeing salaries as high as $193,926 and as low as $50,826, the majority of Data Annotation Engineer salaries currently range between $82,900 (25th percentile) to $193,400 (75th percentile) with top earners (90th percentile) making $193,433 annually in California. The average pay range for a Data Annotation Engineer varies greatly (by as much as 110500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
California ranks number 50 out of 50 states nationwide for Data Annotation Engineer salaries.
To estimate the most accurate annual salary range for Data Annotation Engineer jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Data Annotation Engineer on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Data Annotation Engineer Jobs in California
We've identified 10 cities where the typical salary for a Data Annotation Engineer job is above the average in California in California. Topping the list is Cupertino, , with Redwood City, and San Carlos, close behind in the second and third positions. San Carlos, beats the average in California by $32,527 (22.4%), and Cupertino, furthers that trend with another $36,399 (25.0%) above the $145,530 average.
With these 10 cities paying on average above the average for California, the opportunities for economic advancement by changing locations as a Data Annotation Engineer appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 6% between Cupertino, and Daly City, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Data Annotation Engineer role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Cupertino | $181,929 | $87.47 |
Redwood City | $180,544 | $86.80 |
San Carlos | $178,057 | $85.60 |
Fremont | $174,747 | $84.01 |
San Francisco | $173,734 | $83.53 |
Sunnyvale | $173,068 | $83.21 |
Livermore | $172,970 | $83.16 |
San Jose | $172,823 | $83.09 |
Santa Clara | $171,839 | $82.61 |
Daly City | $170,862 | $82.15 |
What are Top 5 Best Paying Related Data Annotation Engineer Jobs in California
Analyzing similar jobs related to the Data Annotation Engineer job category in California, we found 5 that were relevant. However, none pay more than the $145530 state average for Data Annotation Engineer jobs.
Nevertheless Senior Manager Data Scientist, Data Scientist Machine Learning, or Predictive Modeler may still be interesting positions to explore.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Senior Manager Data Scientist | $140,595 | $67.59 |
Data Scientist Machine Learning | $121,131 | $58.24 |
Predictive Modeler | $120,524 | $57.94 |
Associate Scientist 1 | $73,745 | $35.45 |
Ml Data Associate | $67,148 | $32.28 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
