Google Data Entry Salary
$23K - $26K
2% of jobs
$26K - $29K
5% of jobs
$29K - $32K
12% of jobs
$33K is the 25th percentile. Wages below this are outliers.
$32K - $35K
18% of jobs
The median wage is $37.1K / yr.
$35K - $38K
18% of jobs
$38K - $41K
14% of jobs
$42.6K is the 75th percentile. Wages above this are outliers.
$41K - $44K
9% of jobs
$44K - $47K
8% of jobs
$47K - $50K
6% of jobs
$50K - $53K
4% of jobs
$53K - $56K
3% of jobs
$23K
$38K
$58.5K
$40,504
/year
$19.47
/hour
Google Data Entry Salary Comparison by Location
Nationwide
United States
$40,504
Columbus
Ohio
$39,123
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How much does a Google Data Entry make?
As of Jun 9, 2026, the average annual pay for a Google Data Entry in the United States is $40,504 a year.
Just in case you need a simple salary calculator, that works out to be approximately $19.47 an hour. This is the equivalent of $778/week or $3,375/month.
While ZipRecruiter is seeing annual salaries as high as $58,500 and as low as $23,000, the majority of Google Data Entry salaries currently range between $34,000 (25th percentile) to $45,500 (75th percentile) with top earners (90th percentile) making $53,000 annually across the United States. The average pay range for a Google Data Entry varies greatly (by as much as 11500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Google Data Entry in your area makes on average $39,123 per year, or $1,381 (3.410%) less than the national average annual salary of $40,504. Ohio ranks number 42 out of 50 states nationwide for Google Data Entry salaries.
To estimate the most accurate annual salary range for Google Data Entry jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Google Data Entry on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Google Data Entry Jobs
We've identified 10 cities where the typical salary for a Google Data Entry job is above the national average. Topping the list is Kentville, NS, , with Whitehorse, YT, and Carcross, YT, close behind in the second and third positions. Carcross, YT, beats the national average by $31,429 (77.6%), and Kentville, NS, furthers that trend with another $31,932 (78.8%) above the $40,504 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Google Data Entry appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 4% between Kentville, NS, and Saint John, NB, , 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 Google Data Entry role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Kentville, NS | $72,436 | $34.83 |
Whitehorse, YT | $71,975 | $34.60 |
Carcross, YT | $71,933 | $34.58 |
Haines Junction, YT | $71,687 | $34.46 |
North Cowichan, BC | $71,476 | $34.36 |
Oak Bay, BC | $71,072 | $34.17 |
Lake Marcel-Stillwater, WA | $70,918 | $34.10 |
Victoria, BC | $70,771 | $34.02 |
Courtenay, BC | $69,922 | $33.62 |
Saint John, NB | $69,462 | $33.40 |
What are Top 5 Best Paying Related Google Data Entry Jobs in the U.S.
We found a few related jobs that pay more than jobs in the Google Data Entry category.
For example Data Operations jobs pay as much as $88,022 (217.3%) more than the average Google Data Entry salary of $40,504. If you're qualified, finding work as a Data Operations may help you make more money than that of the average Google Data Entry position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Data Operations | $128,526 | $61.79 |
Data Systems Manager | $111,995 | $53.84 |
Remote Data Science | $104,540 | $50.26 |
Data Management Analyst | $88,664 | $42.63 |
People Operations Specialist | $68,426 | $32.90 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
