Most global hiring reports are built on surveys. Someone asks a few hundred HR leaders what they plan to do next year, and the answers become a trend. Plans are cheap. Contracts are not.
This is remote hiring data of a different kind. It comes from live contracts and live payments across roughly 18,000 monthly active workers, more than 1,200 companies, and over 150 countries, covering the last 24 months on the Ontop platform. Nobody was asked what they intended to do. The numbers show what they actually did, who they hired, and how long those people stayed. Ontop is the Global Workforce Engine: financial infrastructure that lets companies hire, contract, and pay teams in more than 150 countries. That position means the platform sees the full arc of a global hire, from signed contract to the payment that lands months or years later, which is where most hiring data goes quiet.
Key takeaways
- Tech is 45% of all active roles on the platform, more than double the next category. Global remote hiring is not evenly spread across functions, it is concentrated. (Ontop platform data, 24 months through H1 2026)
- Sales generates more new placements than any other category, but only 16.8% of those hires are still working. Five out of six do not last.
- Consulting and tech retain at 42.5% and 41.5%, roughly 2.5 times the durability of sales roles. Speed to placement and length of tenure are close to inversely related.
- Four of the five largest categories grew at double digits year over year, led by consulting at +30.9% and sales at +21.0%. The exception is customer service at +4.9%.
- Volume and durability are different questions. The category that fills a seat fastest is not the category that keeps it filled, and hiring plans that optimize for one usually pay for it in the other.
- All categories show a Q1 hiring spike, so quarter over quarter comparisons will mislead you. Read this data year over year.
- Ontop sees this pattern because it handles the contracts and the payments, not just the hire. If you are building a global team and want to know what your own churn looks like before you commit to a roadmap, book a demo.
What roles do companies actually hire remotely?
Technology roles account for 45% of active roles on the platform, more than double the next largest category. Sales follows at 19%, customer service and support at 14%, consulting at 13%, and virtual assistant or administrative roles at 9%. The distribution is far more concentrated than most global hiring narratives suggest.
The concentration matters more than the ranking. When nearly half of all active global roles sit in a single function, the operational problems of global hiring are mostly tech hiring problems: competing for engineers against local markets that pay in strong currencies, onboarding people who have options, and paying them reliably enough that they do not drift to the next offer.
The second thing worth noticing is what is not on this list. There is no long tail of exotic functions. Five categories cover the entire active population. Companies hiring across borders are not distributing every function globally, they are globalizing a specific and fairly narrow set of roles where the work is genuinely location independent and the talent pool is genuinely deeper abroad.
Which functions sit inside each category?
Technology covers development, QA, DevOps, mobile, and data. Sales covers account executives, business development representatives, sales development representatives, and account managers. Customer service covers support roles. Consulting covers specialized advisory work. The final category covers virtual assistants and administrative support.
These groupings come from raw job titles that were consolidated to remove duplicates and synonyms, which is worth knowing because job titles in global hiring are notoriously inconsistent. The same role can be posted as five different titles across five countries.
Which remote hiring categories are growing fastest?
Consulting grew 30.9% year over year from H1 2025 to H1 2026, the fastest of the five. Sales grew 21.0%, technology 14.0%, virtual assistant and administrative roles 12.8%, and customer service 4.9%. Four of the five largest categories are growing at double digits, so this is broad expansion rather than one category pulling the average.
Consulting growing fastest is the least obvious result here, and it is the one worth sitting with. Specialized advisory work is the kind of role companies historically kept close, both for confidentiality and because the work is judgment heavy. Its growth rate suggests that reservation is weakening, and that companies are getting comfortable buying senior judgment across borders rather than only buying execution capacity.
Customer service at 4.9% is the outlier in the other direction. It is the third largest category by volume but close to flat in growth, which usually means a category that globalized early and has reached its natural ceiling rather than one that is being abandoned.
Why should you read this year over year instead of quarter over quarter?
Every category on the platform shows a hiring spike in Q1. Budgets reset, headcount plans unlock, and the same seasonal pattern repeats across functions and regions. A quarter over quarter read will therefore show growth in Q1 and a decline in Q2 regardless of the underlying trend.
If you are building a hiring forecast off any global data, including this one, compare the same period across years. The seasonal pattern is strong enough to manufacture a trend that is not there.
Which remote roles last, and which ones churn?
Of everyone hired into these categories in the last 24 months, consulting retains best at 42.5% still working, followed by technology at 41.5%, customer service at 34.1%, virtual assistant and administrative at 30.9%, and sales at 16.8%. Sales generates the most new placements of any category and keeps the fewest of them.
The sales result is the finding most likely to change a decision. A 16.8% retention rate means five out of six sales hires are gone. If your global hiring plan is weighted toward sales because sales roles fill quickly and the pipeline pressure is immediate, you are buying placements rather than a team, and you will pay the onboarding cost repeatedly.
Consulting and technology retaining at roughly 2.5 times the sales rate reframes what those roles cost. A tech hire that takes longer to close and costs more per month is not necessarily the expensive option once you price in the replacement cycle on the alternative.
Here is the full picture across all three dimensions:
| Category | Share of active roles | YoY growth | Still working |
|---|---|---|---|
| Technology | 45% | +14.0% | 41.5% |
| Sales | 19% | +21.0% | 16.8% |
| Customer service | 14% | +4.9% | 34.1% |
| Consulting | 13% | +30.9% | 42.5% |
| Virtual assistant / admin | 9% | +12.8% | 30.9% |
Read the table across rather than down. Sales is the only category that is simultaneously large, fast growing, and poorly retained. Consulting is the only one that is fast growing and well retained. Technology is the only one that is large and well retained. Those are three different strategic situations that a single ranked list would have flattened into one.
Does high churn mean the hire was wrong?
Not always. Some categories carry structurally shorter engagements, and a consulting contract that ends on delivery is a completed engagement rather than a failure. The distinction that matters is whether the churn is planned or unplanned, because only one of those has a cost you can design around.
Sales is the harder case, because sales churn is rarely planned. When five of six placements end inside 24 months in a function where ramp time is measured in quarters, the arithmetic gets uncomfortable: a meaningful share of those hires never reached the point of producing what they were hired to produce.
Why does sales generate the most hires and the least retention?
Sales combines the highest placement velocity with the lowest durability because it is the easiest category to hire into and the hardest to succeed in. The barrier to entry is lower than tech, the evaluation cycle is faster, and performance is measured in months. Those same properties that make sales quick to fill make it quick to empty.
There is a second dynamic specific to cross-border sales roles. A sales hire in a different market is often being asked to sell into a territory, a language, or a buyer profile that the hiring company understands less well than it thinks. When the results do not arrive, the diagnosis usually lands on the individual rather than on the territory assumption, and the seat gets refilled with the same assumption intact.
The practical implication is not to stop hiring sales globally. It is to stop treating placement speed as the success metric. If you are staffing a global sales function, plan the cost model around a replacement cycle you can actually predict, and treat the first two quarters as a validation of the territory rather than only of the person.
Paying people reliably is a smaller lever than compensation design but it is not a trivial one, particularly in markets where local payment infrastructure is slow or where currency volatility eats a paycheck between the transfer and the withdrawal. The Ontop Global Account exists for that specific problem: workers receive and hold funds in a currency they control rather than absorbing an involuntary conversion every cycle.
Where should you invest first when building a global team?
Start with software engineering and technology, which carries the highest volume, solid growth, and the best durability of any large category. Use sales and customer service as fast entry paths where speed matters, paired with a plan for the churn they carry. Treat design, data, legal, medical interpretation, and project management as specialized niches worth entering only where adjacent skills already exist.
The sequencing matters more than the ranking. This is not a question of picking one category and ignoring the rest, it is a question of what to build first when you cannot build everything at once.
| Tier | Where to focus | Why |
|---|---|---|
| Build now | Software engineering and technology | Highest volume, solid growth, best durability |
| Fast entry paths | Sales and customer service | Quick to fill and to gain experience, plan for churn |
| Specialized niches | Design, data, legal, interpretation, PM | Lower volume, strong fit where skills are adjacent |
What does this change about how you budget?
It moves the unit of budgeting from cost per hire to cost per retained year. A category with a 16.8% retention rate and a low cost per hire can easily be more expensive over two years than a category with a 41.5% retention rate and a higher monthly rate, once you count the recruiting, onboarding, and ramp time you spend twice.
Getting the classification and the contract right at the start is part of that arithmetic, because a contract that has to be restructured mid engagement is its own form of churn. If you are hiring contractors across borders, the risks around contractor misclassification are assessed per worker and per country, so a small mistake repeated across a growing team compounds quickly.
How does AI change which roles are worth hiring?
AI will reshape parts of these roles within the next few years, and the exposure is uneven. The most exposed work is entry level QA, content moderation, and narrowly scoped junior development tasks. The least exposed is work that requires judgment, context, and accountability, which is concentrated in the consulting and senior technology roles that already retain best.
This does not argue against hiring in exposed categories. It argues against hiring for a single tool. A team built on people who know one framework is fragile in a way that a team built on people who understand software engineering fundamentals is not, and the difference only becomes visible when the underlying tools change.
The same logic applies to how you structure the engagement. Roles most exposed to automation are the ones where a rigid multi year commitment carries the most risk, and where the flexibility to change scope matters more than locking in the lowest rate.
Should you slow down hiring in exposed categories?
No, but you should change what you screen for. In exposed categories, screen for adaptability and fundamentals rather than tool specific fluency, and structure the engagement so that scope can move without renegotiating the entire relationship.
The categories with the highest AI exposure are also, in this data, among the categories with the weakest retention. That correlation is worth watching over the next few cycles, because if automation absorbs the entry level end of a category, the retention numbers in that category will get worse before the category itself disappears.
What this data does not tell you
This is platform data, not a census. It reflects the companies that use Ontop, which skew toward technology and fintech businesses hiring internationally, so the concentration in tech roles is real but amplified by who is in the sample. The direction of these findings is solid. The precise magnitudes are not universal.
Three specific limits are worth stating plainly. First, the sample is self selected: companies that hire globally through a single platform are not a random draw from all companies that hire globally. Second, retention here measures whether a worker is still active on the platform, which is a close proxy for still working but not identical to it. Third, the role categories are consolidated from raw job titles, and any consolidation makes judgment calls at the boundaries.
None of that undermines the core findings, which are large enough to survive the caveats. A 2.5 times gap in durability between categories is not a rounding error, and a 45% concentration in one function is not a sampling artifact. But a company using this to plan should treat it as a strong directional signal rather than as a benchmark to hit.
Frequently asked questions
What is the most hired remote role globally?
Technology roles are the most hired category, accounting for 45% of active roles across the Ontop platform in the 24 months through H1 2026. That includes development, QA, DevOps, mobile, and data. It is more than double the next largest category, sales, at 19%.
Which remote roles have the highest turnover?
Sales roles have the highest turnover by a wide margin. Of everyone hired into sales roles in the last 24 months, 16.8% are still working, meaning five out of six placements did not last. Consulting retains best at 42.5%, followed by technology at 41.5%.
Is remote hiring still growing?
Yes, and broadly. Four of the five largest role categories grew at double digit rates year over year from H1 2025 to H1 2026: consulting at +30.9%, sales at +21.0%, technology at +14.0%, and virtual assistant or administrative roles at +12.8%. Customer service grew more slowly at +4.9%.
How should a company decide which roles to hire globally first?
Start where volume, growth, and durability overlap, which in this data is software engineering and technology. Use sales and customer service when speed to coverage matters, and budget explicitly for their higher churn. Enter specialized niches only where your existing team already has adjacent skills.
Does hiring contractors internationally require an entity in each country?
No. Companies can contract and pay workers across borders without opening a local entity, provided the classification matches the actual working relationship and the contract fits local law. What matters is that the arrangement is genuinely a contractor relationship rather than employment wearing a different label, since regulators assess that per worker and per country.
Closing thoughts
The most useful number in this data is not the one that says where people are hired. It is the one that says who is still there two years later. Volume tells you what is easy. Durability tells you what worked.
Global hiring plans tend to be written from the first number and paid for with the second. A function that fills in three weeks and empties in nine months looks efficient on a recruiting dashboard and expensive everywhere else. The categories in this data that retain best are the ones that took longer to build, which is an uncomfortable finding for anyone under pressure to show headcount growth this quarter.
If you want to see what these patterns look like inside your own team, including a country level or occupation level breakdown, book a demo and we will walk through it with you. More platform data and reports are published in Ontop guides and reports.
Data window covers the last 24 months of live Ontop platform data on active and historical contracts, across roughly 18,000 monthly active workers, more than 1,200 companies, and over 150 countries. Role categories are consolidated from raw job titles to remove duplicates and synonyms. Growth figures compare H1 2025 to H1 2026.
