Parallel Learning Salary
$46K is the 25th percentile. Wages below this are outliers.
$35K - $46.5K
26% of jobs
$46.5K - $58K
10% of jobs
The median wage is $66.4K / yr.
$58K - $69.5K
18% of jobs
$69.5K - $81K
10% of jobs
$81K - $92.5K
6% of jobs
$102.3K is the 75th percentile. Wages above this are outliers.
$92.5K - $104K
5% of jobs
$104K - $115.5K
13% of jobs
$115.5K - $127K
0% of jobs
$127K - $138.5K
0% of jobs
$138.5K - $150K
0% of jobs
$150K - $161.5K
11% of jobs
$35K
$67.5K
$162K
$82,507
/year
$39.67
/hour
Parallel Learning Salary Comparison by Location
Nationwide
United States
$82,507
Columbus
Ohio
$79,693
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How much does a Parallel Learning make?
As of May 30, 2026, the average annual pay for a Parallel Learning in the United States is $82,507 a year.
Just in case you need a simple salary calculator, that works out to be approximately $39.67 an hour. This is the equivalent of $1,586/week or $6,875/month.
While ZipRecruiter is seeing annual salaries as high as $162,000 and as low as $35,000, the majority of Parallel Learning salaries currently range between $46,500 (25th percentile) to $108,000 (75th percentile) with top earners (90th percentile) making $161,500 annually across the United States. The average pay range for a Parallel Learning varies greatly (by as much as 61500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Parallel Learning in your area makes on average $79,693 per year, or $2,814 (3.411%) less than the national average annual salary of $82,507. Ohio ranks number 30 out of 50 states nationwide for Parallel Learning salaries.
To estimate the most accurate annual salary range for Parallel Learning jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Parallel Learning on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Parallel Learning Jobs
We've identified 10 cities where the typical salary for a Parallel Learning job is above the national average. Topping the list is Nome, AK, , with Berkeley, CA, and Sitka, AK, close behind in the second and third positions. Sitka, AK, beats the national average by $16,888 (20.5%), and Nome, AK, furthers that trend with another $19,843 (24.1%) above the $82,507 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Parallel Learning 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 Nome, AK, and Santa Clara, CA, , 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 Parallel Learning role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Nome, AK | $102,350 | $49.21 |
Berkeley, CA | $101,025 | $48.57 |
Sitka, AK | $99,395 | $47.79 |
Mountain View, CA | $98,184 | $47.20 |
San Francisco, CA | $97,208 | $46.73 |
Sunnyvale, CA | $96,835 | $46.56 |
Livermore, CA | $96,780 | $46.53 |
San Jose, CA | $96,698 | $46.49 |
Pennington County, SD | $96,507 | $46.40 |
Santa Clara, CA | $96,147 | $46.22 |
What are Top 5 Best Paying Related Parallel Learning Jobs in the U.S.
We found a few related jobs that pay more than jobs in the Parallel Learning category.
For example Senior Analytical Scientist jobs pay as much as $36,996 (44.8%) more than the average Parallel Learning salary of $82,507. If you're qualified, finding work as a Senior Analytical Scientist may help you make more money than that of the average Parallel Learning position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Senior Analytical Scientist | $119,503 | $57.45 |
Clinical Molecular Geneticist | $93,561 | $44.98 |
Fbi Behavioral Science Unit | $92,378 | $44.41 |
Project Scientist | $81,277 | $39.08 |
Biological Science Degree | $41,285 | $19.85 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
