Almost nobody hires a virtual assistant to do one thing
This article is a submission by VA Masters, a global virtual assistant recruitment agency. It places rigorously vetted Filipino VAs through a custom six-stage hiring process, serving businesses across e-commerce, digital marketing, real estate, healthcare, financial services, and more.
Alon Pearl founded VA Masters in 2021 after his own first virtual assistant hire. He writes about hiring at volume, drawing on the 166,350 applications VA Masters processed between January 2025 and July 2026.
What 323 roles across 253 companies reveal about how the work is actually shaped
Key takeaways
- Only 26% of roles fall into a single area of work. The average role spans two, and 28% span three. Based on 323 roles opened February to August 2026.
- Administrative and operations work is the largest category at 37.9% of all virtual assistant work, but most of it arrives bundled with something else.
- Part-time is the default rather than the compromise. 72% of roles are part-time and 46% are opened at exactly 80 hours a month.
- Content writing takes more than twice as long to fill as sales work. A median of 27 days against 12. Based on 179 closed roles, January 2025 to August 2026.
The job description that describes a quarter of the market
Most hiring advice tells you to define the role tightly. Pick one function, write it clearly, hire against it. It is sensible advice and in this market it describes about a quarter of what actually gets hired.
We looked at 323 roles opened by 253 separate companies between February and August 2026. Every role carries between one and three areas of work. Only 26% carry just one.
The rest are hybrids. Someone who handles admin and also runs the social accounts. Sales support who also manages the CRM. An operations person who also builds the reporting. T
hat is not sloppy scoping by the business owner. It is an accurate description of how a small company actually needs work done, because there is rarely enough of any one thing to fill a person.
Three quarters of roles cross at least two areas
| Areas of work in one role | Share of roles |
|---|---|
| One | 26% |
| Two | 46% |
| Three | 28% |
Based on 323 roles opened February to August 2026. Average: 2.02 areas of work per role.
If you are writing a job description right now, this is the number that should change how you write it. A posting built around a single function will either attract specialists who leave when the work broadens, or it will quietly expand after the hire and both sides will feel misled.
The better approach is to name the primary area honestly, name the secondary one, and say which is which. Candidates can price that. They cannot price a surprise.
Where the work actually sits
Because a role can span more than one area, the same data answers two different questions and both are worth seeing.
The first column divides each role evenly across its areas, so a role tagged with three contributes one third to each. It answers: how is virtual assistant work distributed overall? It sums to 100%.
The second column counts every role that touches an area at all. It answers: how likely is a given role to involve this work? It sums to more than 100% by design.
| Work category | Share of VA work | Roles that include it |
|---|---|---|
| Administrative and operations support | 37.9% | 64.1% |
| Marketing and advertising | 12.8% | 30.0% |
| Sales and business development | 11.2% | 21.4% |
| Tech and development | 6.3% | 15.8% |
| Design and creative | 5.3% | 9.3% |
| Social media management | 5.2% | 13.9% |
| E-commerce management | 5.1% | 12.1% |
| Finance and accounting | 3.9% | 5.9% |
| Real estate | 3.4% | 7.4% |
| Analytics and software engineering | 3.3% | 7.7% |
| Writing and content creation | 3.3% | 9.3% |
| Other | 1.4% | 2.8% |
| Legal and compliance | 0.4% | 0.9% |
| HR and recruiting | 0.4% | 0.9% |
Based on 323 roles opened February to August 2026.
Administrative and operations support is the largest category by a wide margin, but notice the gap between the two columns. It accounts for 37.9% of the work and appears in 64.1% of roles. Nearly two thirds of all roles contain some admin, and for most of them it is only part of the job.
Marketing shows the same pattern at a smaller scale. Finance behaves differently: 3.9% of the work and 5.9% of roles, a narrow gap, which tells you finance work tends to arrive as a defined block rather than as a component of something else.
Part-time is the default, not the compromise
| Engagement | Share of roles |
|---|---|
| Part-time | 72% |
| Full-time | 26% |
| Project-based | 2% |
Based on 323 roles opened February to August 2026. Median request: 80 hours a month. 46% of roles are opened at exactly 80 hours, and 26% at 160 hours or more.
Half-time is the standard entry point in this market. Almost half of all roles land on exactly 80 hours a month, which is a strikingly tight cluster for a number nobody coordinates on.
I read that as businesses sizing the hire to the work rather than to a job title. A full-time role has to be justified by a full-time volume of work, and for most small companies the honest answer is that it is not there yet. Starting at half-time lets them find out.
How long roles take to fill
This section uses a different and longer window than the rest of the article. Only a closed role produces a time-to-fill figure, and the shorter window does not hold enough closed roles per category to report honestly.
So these figures cover 179 roles opened between January 2025 and August 2026 with a recorded close date.
Across all of them the median is 15 days. The fastest quarter close in eight days or fewer. Half are filled within two weeks and 76% within a month. The slowest quarter runs past 30 days.
| Work category | Median days to fill |
|---|---|
| Sales and business development | 12 |
| Administrative and operations support | 14 |
| Analytics and software engineering | 14 |
| Social media management | 14 |
| Tech and development | 14 |
| E-commerce management | 16 |
| Marketing and advertising | 17 |
| Writing and content creation | 27 |
Based on 179 closed roles, January 2025 to August 2026. Categories with fewer than 15 closed roles are not reported.
Most categories cluster tightly between 12 and 17 days. Writing sits alone at 27, more than double the fastest category.
One explanation is that writing is the area where quality is hardest to judge from a portfolio, so more candidates reach a practical assessment before anyone commits. The data shows the gap. It does not explain it, and I would rather say that than offer a theory dressed up as a finding.
What we looked for and did not find
Time zone does not predict time to fill. Roles from clients on the US east coast, the west coast, and in between fill at broadly similar speeds. The distance between a client’s working day and a candidate’s does not appear to slow hiring down.
Category size does not predict category speed. Administrative roles are by far the most numerous and sit in the middle of the speed range. Analytics roles are among the rarest and fill just as fast.
We report these because a relationship that turns out not to exist is still a result, and because it shows which questions were tested rather than only which ones produced an answer.
About this data
This report describes what passes through VA Masters, not the offshore hiring market as a whole.
Every dataset of this kind reflects the business that produced it. Our client base skews toward the companies that find us, and most arrive on their own through search and through referrals from clients we already work with.
A client roster with a strong presence among marketing agencies and local service businesses will show a different mix of work than one built around enterprise accounts.
The sample still says something real. It covers hundreds of roles across fourteen categories and clients on four continents, and the patterns inside it are consistent rather than driven by a handful of accounts. But a reader should treat it as a detailed view of one large pipeline, not a measurement of national demand.
Roles opened by VA Masters for its own team are excluded throughout. Narrow job-title labels were merged into their parent areas of work so that a single category was not split in two. Full methodology sits alongside our Filipino virtual assistant workforce dataset.
Independent
