What are the top 10 cities with the highest pay for Reinforcement Learning?

We've identified 10 cities in the United States where Reinforcement Learning jobs typically pay above the area average. Topping the list is Bolinas, CA (90.9% above average), followed by Inverness, CA and Carcross, YT. City Annual Salary Monthly Pay Weekly Pay Hourly Wage Bolinas, CA $111,412 $9,284 $2,142 $53.56 Inverness, CA $109,975 $9,164 $2,114 $52.87 Carcross, YT $105,474 $8,789 $2,028 $50.71 Haines Junction, YT $105,114 $8,759 $2,021 $50.54 North Cowichan, BC $104,804 $8,733 $2,015 $50.39 Duncan, BC $104,401 $8,700 $2,007 $50.19 Victoria, BC $103,770 $8,647 $1,995 $49.89 Alberton, PE $102,801 $8,566 $1,976 $49.42 Saint John, NB $101,851 $8,487 $1,958 $48.97 West Kelowna, BC $101,619 $8,468 $1,954 $48.86

Reinforcement Learning

Reinforcement Learning Salary

Q: How much does a Reinforcement Learning make?

The average annual pay for a reinforcement learning in the United States is $58,347 a year — that works out to approximately $28.05 an hour. The middle 80% of Reinforcement Learnings earn between $41,000 (10th percentile) and $75,500 (90th percentile) per year, depending on experience and employer.

Q: What are Top 5 Best Paying Related Reinforcement Learning Jobs in the United States?

We found several jobs related to Reinforcement Learning in the United States that pay more on average. Topping the list is Arts Academy Charter Middle School at $7,267 (12.5%) above Reinforcement Learning. Job Title Annual Salary Monthly Pay Weekly Pay Hourly Wage Arts Academy Charter Middle School $65,614 $5,467 $1,261 $31.55 Retired Teacher Part Time $54,168 $4,514 $1,041 $26.04 Iep Facilitator $49,766 $4,147 $957 $23.93 The Rainforest Learning Center $46,724 $3,893 $898 $22.46 Life Skills Teacher $41,412 $3,451 $796 $19.91

$28.5K

$56.5K

$79.5K

$58,347

/year

$28.05

/hour

Reinforcement Learning Salary Comparison by Location

Nationwide

United States

$58,347

Columbus

Ohio

$56,357

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How much does a Reinforcement Learning make?

As of Jul 26, 2026, the average annual pay for a Reinforcement Learning in the United States is $58,347 a year.

Just in case you need a simple salary calculator, that works out to be approximately $28.05 an hour. This is the equivalent of $1,122/week or $4,862/month.

While ZipRecruiter is seeing annual salaries as high as $79,500 and as low as $28,500, the majority of Reinforcement Learning salaries currently range between $50,500 (25th percentile) to $68,000 (75th percentile) with top earners (90th percentile) making $75,500 annually across the United States. The average pay range for a Reinforcement Learning varies greatly (by as much as 17500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.

A Reinforcement Learning in your area makes on average $56,357 per year, or $1,990 (3.411%) less than the national average annual salary of $58,347. Ohio ranks number 38 out of 50 states nationwide for Reinforcement Learning salaries.

To estimate the most accurate annual salary range for Reinforcement Learning jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.

Find your next high paying job as a Reinforcement Learning on ZipRecruiter today.

What are Top 10 Highest Paying Cities for Reinforcement Learning Jobs

We've identified 10 cities where the typical salary for a Reinforcement Learning job is above the national average. Topping the list is Bolinas, CA, , with Inverness, CA, and Carcross, YT, close behind in the second and third positions. Carcross, YT, beats the national average by $47,127 (80.8%), and Bolinas, CA, furthers that trend with another $53,065 (90.9%) above the $58,347 average.

With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Reinforcement Learning appears to be exceedingly fruitful.

Finally, another factor to consider is the average salary for these top 10 cities varies very little at 9% between Bolinas, CA, and West Kelowna, BC, , 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 Reinforcement Learning role.

City	Annual Salary	Monthly Pay	Weekly Pay	Hourly Wage
Bolinas, CA	$111,412	$9,284	$2,142	$53.56
Inverness, CA	$109,975	$9,164	$2,114	$52.87
Carcross, YT	$105,474	$8,789	$2,028	$50.71
Haines Junction, YT	$105,114	$8,759	$2,021	$50.54
North Cowichan, BC	$104,804	$8,733	$2,015	$50.39
Duncan, BC	$104,401	$8,700	$2,007	$50.19
Victoria, BC	$103,770	$8,647	$1,995	$49.89
Alberton, PE	$102,801	$8,566	$1,976	$49.42
Saint John, NB	$101,851	$8,487	$1,958	$48.97
West Kelowna, BC	$101,619	$8,468	$1,954	$48.86

What are Top 5 Best Paying Related Reinforcement Learning Jobs in the U.S.

Analyzing some similar jobs related to the Reinforcement Learning job category, we found that Arts Academy Charter Middle School jobs have average salaries greater than Reinforcement Learning jobs.

Significantly, Arts Academy Charter Middle School jobs pay $7,267 (12.5%) more than the average Reinforcement Learning salary of $58,347. If you're qualified, finding work as a Arts Academy Charter Middle School may help you make more money than that of the average Reinforcement Learning position.

Job Title	Annual Salary	Monthly Pay	Weekly Pay	Hourly Wage
Arts Academy Charter Middle School	$65,614	$5,467	$1,261	$31.55
Retired Teacher Part Time	$54,168	$4,514	$1,041	$26.04
Iep Facilitator	$49,766	$4,147	$957	$23.93
The Rainforest Learning Center	$46,724	$3,893	$898	$22.46
Life Skills Teacher	$41,412	$3,451	$796	$19.91

About Our Data

ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.

Infographic detailing Reinforcement Learning salary across the United States as of July 2026. Displays a bar chart with salary percentiles, a national average salary of $58,347 per year or $28.05 an hour, and a color-coded map showing state-by-state salary variations.

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