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The Highest-Paying H-1B Jobs Aren't in Tech
H-1B is famous for software jobs, but the best-paid filings are medical and executive roles. We unpack why pay tracks specialization and scarcity — not the tech stereotype.
The H-1B program has a reputation problem — or at least a reputation oversimplification. Mention it and most people picture software engineers at large tech and consulting firms. That picture isn't wrong about volume: tech roles dominate the sheer number of filings. But it's badly wrong about pay. When you sort H-1B occupations by their certified median wage, the top of the list is not a tech company's org chart. It's a hospital's.
This article walks through what the FY2026 wage rankings actually show, why the high-paying roles look the way they do, and how to use the data when you're weighing an offer or studying the program. The short version: H-1B pay tracks specialization and scarcity, not the job title you'd guess. By the end you'll know where the genuinely high-paying roles sit, why the program's most famous job earns a middling wage within it, and which columns to read so a single number doesn't mislead you.
The top of the table is a hospital, not a server room
Rank the highest-paying H-1B jobs by median wage and the first five entries are all medical. Psychiatrists lead at roughly $210K, followed by Physicians (All Other) near $185K, then Pediatricians and Family Medicine physicians around $180K, and Internal Medicine physicians near $175K. You can scroll a long way before a technology role appears.
When a tech job finally shows up, it isn't a coder. The best-paid tech occupation is Computer and Information Systems Managers — the IT manager classification — at about $150K, landing around #7 overall and still some $60K behind the psychiatrist median. The next tech entry is Computer and Information Research Scientists near $137K. Both are management and research roles, not hands-on development.
The pattern is consistent: the roles that top the wage table are ones where the credential is hard to obtain and the supply of qualified workers is thin. A board-certified psychiatrist represents more than a decade of training and a license that can't be acquired quickly. Scarcity, not industry, is doing the work.
Why scarcity sets the price
It's worth pausing on the mechanism, because it explains nearly every entry near the top of the table. Wages rise when the people who can legally do a job are hard to find and slow to replace. Three forces tend to travel together at the top of the H-1B pay rankings:
- A protected, licensed credential. Physicians, dentists, and pharmacists can't practice without passing board exams and holding state licenses. That gate caps supply no matter how much demand grows.
- A long, non-compressible training pipeline. You cannot shorten a medical residency the way you can run a faster software course. When demand spikes, supply can't respond for years, and wages absorb the difference.
- Narrow substitutability. A hospital that needs a psychiatrist cannot reassign a generalist to fill the role. The narrower the set of people who can do the work, the more pricing power those workers have.
Tech roles sit lower on the table largely because they invert these forces. Many development jobs have no licensing gate, a training pipeline that can scale quickly, and broad substitutability — one qualified developer can often be swapped for another. That's exactly the recipe for high volume and moderate per-worker pay.
The most common H-1B job is mid-pack on pay
Here's the fact that breaks the stereotype most cleanly. Software Developers are the single most common H-1B occupation by a wide margin — on the order of 2.76 million cumulative filings, far ahead of any other role. They define the program's public image.
And their median wage sits around $102K, roughly rank 28 on the pay table — squarely mid-pack and well below the program's own overall median wage (around $130K in FY2026). The biggest group is nowhere near the best-paid group. The occupation that is the H-1B program in the popular imagination earns a middling wage within it.
That gap between volume and pay is the whole story in miniature. Employers file enormous numbers of developer applications because they need a lot of developers, not because each one commands a premium wage. Demand for headcount and demand that bids up wages are different things — and the H-1B data lets you see the two pulling apart.
The volume leaders trail the field
Look further down the high-volume list and the wage story gets starker. Computer Systems Analysts come in around $70K. Computer Programmers sit near $68.6K. Both are below the program's overall median — and both are filed in large numbers.
In other words, several of the roles that generate the program's volume are paid below its midpoint. The H-1B program, by the numbers, runs heavily on common, mid-to-lower-wage roles. The high medians at the top belong to occupations that are filed comparatively rarely. If you ranked the program by total dollars rather than per-worker pay, the picture would shift toward these high-volume roles — but the per-job leaderboard is dominated by the scarce specialties.
A management premium that ignores industry
If specialization explains the medical lead, management explains much of the rest of the upper table. Across fields, people who run things cluster near the top:
| Role | Approx. FY2026 median |
|---|---|
| Chief Executives | $166K |
| IT Managers | $150K |
| Architectural & Engineering Managers | $135K |
| Financial Managers | $125K |
| Marketing Managers | $123K |
Notice these span finance, engineering, marketing, and technology. The common thread isn't the sector — it's the seniority. A manager's pay reflects scope and responsibility, and that premium shows up regardless of which department the title sits in.
There's a structural footnote here too. Executive and management roles are filed in far smaller numbers than line-level engineering roles, which is part of why they don't dominate the program's volume even as they dominate its upper wage tier. Seniority is rare almost by definition — most of any workforce is not management — so these high medians sit on top of comparatively thin filing counts.
Healthcare's strength runs deeper than doctors
It would be easy to read the medical lead as "physicians are rich, everyone else isn't." The data says otherwise. The healthcare premium is broad. Dentists sit around $143K, Pharmacists near $114.6K, and Veterinarians around $94K. These aren't physician salaries, but they comfortably clear the program median and out-earn the typical developer.
That breadth matters because it points back to the underlying mechanism. What these roles share is a licensed, regulated credential with a constrained pipeline. You can't scale the supply of dentists the way you can scale a developer bootcamp cohort, and the wages reflect it. If you're researching the health care sector specifically, the wage floor is simply higher — the scarcity logic applies down the ladder, not just at the physician tier.
Inside tech, there's a clear hierarchy too
None of this means tech pay is uniform — far from it. Within technology occupations, a clear ladder emerges. Research, security, and management sit on top; development is in the middle; QA and analyst roles trail.
Computer and Information Research Scientists ($137K) and Information Security Analysts ($105K, with around 65K filings) both out-earn the typical Software Developer ($102K). Below developers, Software QA Analysts and Testers come in near $81K, and Computer Programmers near $69K. One more wrinkle worth flagging: Data Scientists edge out developers ($102.7K vs ~$102K) and are a growing category — a small but telling sign of where AI-era demand is pushing wages.
The ladder maps cleanly onto the scarcity logic. Research scientists and security analysts sit on top because their skills are specialized and not freely interchangeable; QA and programming roles sit lower because they're more standardized and more easily substituted. So even inside the field that defines the program, "tech job" tells you very little about pay. The specific occupation — and where it sits on the research-to-testing ladder — tells you almost everything.
The median hides the range
One caution before you treat any of these figures as a quote for your own situation: a median is a single point, and these occupations have wide internal spreads.
The "Physicians, All Other" group is the clearest example. Its median is around $185K, but its 25th-percentile wage is roughly $66K — a spread that almost certainly reflects residents at the bottom and attending physicians at the top, lumped into one census code. A single median that sits near $185K would badly mislead a resident, and badly understate an experienced attending.
The lesson is general. When you look up any occupation on this site, read the percentile columns, not just the median. The P25-to-P75 range tells you how much the title actually varies — and for many roles, that range is the real story. A narrow spread means the median is a reliable expectation; a wide one means the median is barely a midpoint between two very different jobs sharing a code.
What the wage data does — and doesn't — capture
A few caveats keep these numbers honest, and they matter when you map a leaderboard figure onto a real offer:
- These are filed wages, not necessarily market wages. An LCA lists the wage an employer attests to pay for a specific role and location. It's a strong, disclosed signal, but it isn't a guarantee of total compensation — bonuses, equity, and benefits sit outside it, which especially understates senior tech and executive roles.
- Location is baked into the number. Prevailing wages are set by area, so a national median blends high-cost metros with cheaper ones. The same title can carry very different filed wages across states, and a six-figure median in an expensive metro may buy less than a lower one elsewhere.
- Occupation codes are broad buckets. As the physician example shows, one SOC code can hold wildly different jobs. The code is a category, not a job description.
- Figures refresh. These rankings update as new disclosure data lands, so treat specific dollar amounts as a recent snapshot rather than a fixed value.
None of this undercuts the headline pattern — it sharpens it. The leaderboard is an excellent map of relative standing between occupations; it's a weaker tool for pinning down what one specific person will earn.
The ceiling-to-floor spread is enormous
Zoom all the way out and the program spans an extraordinary wage range. At the top, psychiatrists near $210K. Around rank #100, Rehabilitation Counselors sit near $39K — roughly a 5.4x gap from top to bottom of the leaderboard. Teaching roles cluster near the floor, with elementary teachers around $48K and secondary teachers near $49K.
That spread is a useful corrective to any single headline about "the H-1B wage." There isn't one. There's a distribution that runs from sub-$40K instructional roles to $200K-plus specialists, and where a given job lands depends far more on credential scarcity and seniority than on whether the word "tech" appears in the description.
How to use this if you're weighing an offer
Put the pattern to work in four steps:
- Look up your exact occupation, not the program average. A "$130K H-1B median" is meaningless for a specific role. Find your SOC code and start from its median.
- Read the percentile spread, not just the midpoint. If P25 and P75 are far apart, the median tells you little — figure out which end of the range your experience level sits in.
- Adjust for location. Compare against filings in your metro or state, since prevailing wage is set by area and a national figure blends very different markets.
- Place yourself on the right ladder. A development role and a research or security role are different rungs; know which one your title actually occupies before you benchmark.
The takeaway
The clean way to summarize the FY2026 rankings: pay follows specialization and scarcity, not industry. Specialized medical and senior executive roles top the table. High-volume tech roles — the ones that built the program's reputation — sit in the middle, and several of the most common ones sit below the program's own median.
If you're evaluating an offer, that has a practical edge: don't anchor on the program's headline numbers or on what "H-1B jobs pay." Look up your exact occupation, read its percentile spread, and compare it against the highest-paying roles and the most common ones to see where your title really falls. The averages conceal more than they reveal.
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