How to Hire Top Remote Talent in Latin America: What 36,186 Applicants Taught Us
To hire top remote talent in Latin America, define the outcome you need, recruit wide, screen written English to C1, then test real work before you interview: give candidates a realistic project with a deadline, score it on a fixed rubric, and interview only the people who pass. Résumés barely predict performance; work samples and structured interviews do. Since 2024, 36,186 people have applied to go through this process with us. 3,250 joined our live training and 518 passed the final project. This guide shows each step, what it costs, which countries to look at, and the data on who succeeds.
Remote hiring in Latin America at a glance
| Best roles | Executive assistants, operations generalists, AI operators, marketing and customer-facing roles. Developers too, but that's a different market. |
| Time zones | UTC-3 to UTC-6: 0 to 2 hours from US Eastern all year. |
| Strongest English | Argentina is the only large Latin American market in EF's "High" band. Elsewhere, screen per person. |
| What full-time costs | US executive assistant median: $76,590 a year (BLS). Remote assistants in Latin America: vendor estimates cluster around $1,000 to $3,250 a month. |
| Best predictor | A scored work sample plus a structured interview. Years of experience barely predict performance. |
| The hard part | Finishing. In our three latest cohorts, only 36% of people who started training submitted the final project. |
| Our funnel | 36,186 applied → 5,840 completed the application → 3,250 joined live training → 518 passed. |
I'm Ivan, co-founder of Pareto Talent. I started as an executive assistant myself, and for the last four years we've recruited, trained and tested remote professionals across Latin America and matched them with US founders. This guide is the process we use, written so you can run it yourself, with the numbers behind every step.
One note on scope. "Remote talent" covers everything from senior engineers to part-time freelancers. This guide is about the people founders most often hire to take work off their own plate: executive assistants, operators and generalists, the people who run the business side so you can focus. If you're hiring developers, much of the process applies, but the market and the tests are different.
01 · Why Latin America
Why hire remote talent in Latin America?
Founders hire in Latin America for three reasons: real-time overlap with US hours, strong English in the right pools, and salaries well below US rates for the same work. The first one matters most. An assistant who's online when you are can answer in minutes, sit in on your calls and run your day as it happens.
Time zones. All of mainland Latin America sits between UTC-3 and UTC-6, so every major hub is within 0 to 2 hours of US Eastern all year. Colombia and Peru match Eastern time in the winter and Central in the summer. Argentina runs one or two hours ahead of Eastern, which suits founders who want their day prepared before they wake up.
| Country | UTC offset | vs US Eastern (winter / summer) | Daylight saving? |
|---|---|---|---|
| Argentina, Uruguay, Paraguay, Brazil (São Paulo) | UTC-3 | 2 h ahead / 1 h ahead | No |
| Chile (Santiago) | UTC-3 or UTC-4 | 1 to 2 h ahead | Yes, opposite season to the US |
| Bolivia, Venezuela, Dominican Republic | UTC-4 | 1 h ahead / same | No |
| Colombia, Peru, Ecuador, Panama | UTC-5 | Same / 1 h behind | No |
| Mexico (most of the country), Costa Rica, Guatemala, Honduras, El Salvador | UTC-6 | 1 h behind / 2 h behind | No |
Source: IANA Time Zone Database, offsets as of 2026. Mexico ended daylight saving for most of the country in 2022.
English. It varies far more than most founders expect. On the EF English Proficiency Index, Argentina ranks first in Latin America and 26th in the world, in the "High" band, close to the Philippines. Colombia and Brazil sit in the "Low" band and Mexico in "Very low". That doesn't mean you can't hire great people in Colombia or Mexico. It means you have to test English person by person, never assume it from the passport.
English proficiency by country
EF EPI 2025 score. Argentina is the only large Latin American market in the High band.
- Argentina575 · High · #26 worldwide
- Philippines (for comparison)569 · High · #28
- Honduras553 · High · #32
- Uruguay542 · Moderate · #34
- Peru519 · Moderate · #52
- Chile517 · Moderate · #54
- Costa Rica516 · Moderate · #55
- Brazil482 · Low · #75
- Colombia480 · Low · #76
- Mexico440 · Very low · #103
Source: EF English Proficiency Index 2025 (123 countries, 2.2 million test takers who chose to take the test).
Cost. The US median salary for an executive assistant is $76,590 a year, about $6,380 a month, before benefits and payroll taxes (BLS, May 2025). Full-time remote assistants in Latin America typically earn a fraction of that. We cover the real numbers, and the hiring models, below.
Nearshore vs offshore
Nearshore means hiring in a nearby country with overlapping hours, like a US founder hiring in Colombia or Argentina. Offshore means hiring far away, usually in Asia, with a large time gap. Nearshore usually costs more than the cheapest offshore option. What you get for it is someone online while you are.
Latin America or South America?
People search for both. South America is the continent, from Colombia and Venezuela down to Argentina and Chile. Latin America also includes Mexico, Central America and the Spanish-speaking Caribbean, so it's the term recruiters use. In practice, most of the strongest remote talent for US founders comes from South America: in our applicant pool, Argentina and Colombia alone make up 83% of sign-ups.
02 · The Roles
Which roles can you hire remotely in Latin America?
Almost any role that runs on a laptop. The question is which ones are worth hiring remotely, and for founders the answer is usually the role that gives them their time back:
| Role | What they own | What to test in the work sample |
|---|---|---|
| Executive assistant | Inbox, calendar, travel, follow-ups, meeting notes. The most common first hire. | Triage a real inbox export and plan a week |
| Operations generalist or "right hand" | Processes, projects, reporting and the tools your business runs on | Turn a messy process into an SOP and a tracker |
| AI operator | Automations, dashboards and internal tools, often built with Claude Code. See what an AI operator does. | Build one working automation end to end |
| Marketing coordinator | Content calendar, email, landing pages, CRM | Ship a landing page and an email sequence |
| Customer success and support | Onboarding, support inboxes, renewals | Answer ten real tickets using your docs |
| Bookkeeping and admin | Invoices, collections, expenses, with your accountant signing off | Reconcile a month of transactions |
The line between these is blurring. Two years ago, an executive assistant managed your inbox. Today the best ones also build the automation that clears it. In our applicant data, mentions of AI and automation in applications rose from 7% to 18% in two years. When you hire, look for someone who can do the work and improve how it's done.
Virtual assistant or executive assistant: which do you need?
A virtual assistant handles tasks you assign: data entry, scheduling, inbox triage, research. An executive assistant owns outcomes: your calendar, your inbox, your follow-ups and the projects you'd otherwise drop. In Latin America, both can work US hours. The difference is judgment.
| Virtual assistant | Executive assistant | AI operator or right hand | |
|---|---|---|---|
| What you hand over | Tasks | Outcomes: inbox, calendar, follow-ups | Systems: automations, dashboards, projects |
| Who manages whom | You manage the assistant | The assistant manages your day | They build the tools your team runs on |
| Typical schedule | Often part-time, by the hour | Full-time, your hours | Full-time, your hours |
| How to test them | A short task | A realistic project with a deadline | A multi-day build scored on a rubric |
If you're hiring your first person to get your own time back, hire an executive assistant. A virtual assistant saves you tasks; an executive assistant saves you decisions.
03 · Where the Talent Is
Which Latin American countries have the best remote talent?
In our data, Argentina and Colombia produce the most applicants by far, and Argentina produces the most people who pass. Of 36,186 people who applied to us between 2024 and 2026, 60% lived in Argentina and 24% in Colombia. By the end of the process, Argentina's share had grown to 72% of the people who passed our final project, and Colombia's had shrunk to 13%.
Argentina’s share grows at every stage
Share of people at each stage who live in Argentina and in Colombia.
- Argentina
- Colombia
- Signed up60% vs 24% · n = 36,186
- Full application53% vs 17% · n = 5,840
- Joined a bootcamp62% vs 19% · n = 3,250
- Passed the final project72% vs 13% · n = 518
Source: Pareto Talent applicant data, Bootcamps 2 to 7 (2024 to 2026). See method.
Part of that is English, where Argentina leads the region on international rankings. Part of it is the mix of careers people come from in each country, and some careers pass our test more often than others (more on that below). Strong individuals come from every country in our pool.
| Country | Time zone | English (EF EPI 2025) | What we see in our data |
|---|---|---|---|
| Argentina | UTC-3 | High, #1 in Latin America | Largest pool, highest pass rate, strong writers and translators |
| Colombia | UTC-5 | Low nationally, strong individuals | Second-largest pool; same hours as US Eastern in winter |
| Mexico | UTC-6 | Very low nationally | Small share of our applicants; best for Central time founders |
| Peru, Chile, Uruguay, Costa Rica | UTC-3 to UTC-6 | Moderate | Smaller pools; strong individuals |
The useful lesson for founders: hire the person, not the country. Country averages tell you where to look first. Your own English test and work sample tell you who to hire.
Latin America vs the Philippines
The Philippines is the other big remote-assistant market, and its English is almost level with Argentina's: 569 vs 575 on EF's index, both in the "High" band. The difference is the clock. Manila is 12 to 13 hours ahead of US Eastern, so a Filipino assistant either works your night or works while you sleep. A Latin American assistant works your day.
| Latin America | Philippines | |
|---|---|---|
| Hours vs US Eastern | 0 to 2 hours | 12 to 13 hours ahead |
| Live overlap with a 9 to 5 Eastern day | Most or all of the day | Only if they work nights |
| English (EF EPI 2025) | Argentina 575 (High), Colombia 480 (Low), Mexico 440 (Very low) | 569 (High) |
| Best for | Real-time work: calls, calendar, same-day follow-up | Async, overnight and high-volume tasks |
04 · Cost
What does it cost to hire remote talent in Latin America?
There's no official benchmark for what US companies pay remote assistants in Latin America. Staffing vendors that publish estimates put full-time remote executive assistants at roughly $1,000 to $3,250 a month, depending on seniority, English and country, but none of them publishes a method, so treat those numbers as a range, not a rate card. For comparison, the US median for the same job is about $6,380 a month in salary alone.
What you actually pay depends more on how you hire than on the salary. There are five common models:
| Hiring model | How it works | What you pay | Who does the vetting | If it doesn't work out |
|---|---|---|---|---|
| Freelance marketplace | You post a job, review bids, hire by the hour or project | Hourly rate plus a platform fee | You | You start over |
| Direct hire as a contractor | You recruit through job boards or referrals and pay the person directly | Their rate, plus your time | You | You start over |
| Employer of Record (EOR) | A platform legally employs the person in their country and handles payroll | Salary plus a monthly platform fee | You | You start over |
| Recruiting agency | An agency finds candidates for a one-time fee; you employ them | Salary plus a one-time fee | The agency (varies) | Sometimes a limited replacement window |
| Managed placement | A firm recruits, trains, tests, matches and stays involved | One monthly fee, usually all-in | The firm | Replacement included |
The cheapest line on that table is rarely the cheapest outcome. The expensive part of hiring is the wrong hire: in a CareerBuilder survey, 74% of US employers said they'd hired the wrong person, at a self-reported average cost of $14,900 each, and that was in 2017 (HR Dive). For a founder, the bigger cost is the months you spend managing someone who can't do the job, and then starting again.
For reference, a managed placement through Pareto costs $3,000 to $3,600 a month depending on the plan, plus a one-time $3,000 placement fee. That covers recruiting, training, testing, matching, ongoing support and replacement.
05 · The Process
How to hire remote talent in Latin America, step by step
The process below is the one we run, step for step. You can use it yourself with smaller numbers. At every step, I've added what our data says about how many people make it through, because the drop-off is the point: each step is designed to filter for something specific.
From sign-up to passing the final project
People at each stage, Bootcamps 2 to 7.
- Signed up36,186
- Completed the full application5,840 · 16% of the stage before
- Joined a live bootcamp3,250 · 56% of the stage before
- Passed the final project518 · 16% of the stage before
Source: Pareto Talent applicant data, Bootcamps 2 to 7 (2024 to 2026). See method.
Step 1: Define the outcome, not just the tasks
Before you write a job post, write down what will be different in 90 days if this hire works. "Inbox at zero every day, my calendar managed, every lead followed up within an hour" is a role. "Admin support" is not. Then list the tools the person will live in, the hours you need them online, and the decisions they can make without you.
This is also where most founders under-hire. If you want someone who will eventually run projects and build systems, hire for that now. In our data, the people who pass our test describe bigger, more entrepreneurial goals than those who don't. Ambitious people are the ones who build systems for you.
Step 2: Recruit wide, and expect most people to drop out
You need far more applicants than you think. Of everyone who signed up for our program, only 16% completed the full application. That's not a problem to fix; it's the first filter. Someone who won't finish a 20-minute application won't finish your projects either.
Where to recruit: referrals from people you already trust, LinkedIn, local job boards in each country, and communities for remote workers. Write the job post in English and ask for written answers, not just a CV. The answers are where you'll learn the most.
Step 3: Screen the written application and English
Ask every applicant for the same things, so you can compare them fairly:
- A CV in English.
- Written answers to two or three real questions: their biggest project, a failure and what they learned, their goals for the next few years.
- An English test result, using the CEFR scale (A1 to C2).
- A short recorded video introduction.
- A behavioral or personality assessment, if you use one.
Score each part on a fixed scale and set the bar before you start reading, not after. For client-facing work, aim for C1 English. Our data shows why: pass rates on our final test rise from 6% at B1 to 11% at B2 and 16% at C1, then barely move at C2, and 72% of the people who pass test at C1 or above. Test it live, too: a written score and a real conversation can differ.
English matters up to C1, then it flattens
Bootcamp participants who passed the final project, by English test level.
- B16% · n = 93
- B211% · n = 710
- C116% · n = 666
- C217% · n = 753
Source: Pareto Talent applicant data, Bootcamps 2 to 7 (2024 to 2026). See method.
Watch out for applications written entirely by AI. A polished answer that says nothing specific is a red flag. Ask follow-up questions about the details, and they'll show quickly.
Step 4: Train or test on real work, live
This is where we differ most from a typical hiring process. Instead of moving straight to interviews, we invite the best applicants (56% of full applications in our case) to a 10-day live bootcamp: more than 40 hours of training on AI, building landing pages and automations, CRM workflows, marketing, and inbox, calendar and project management, with homework every day.
The training is also the test. We track who shows up, who does the homework and who keeps going when it gets hard. In our three most recent cohorts, 78% of people who joined showed up at least once, 42% attended 8 or more of the 10 days, and only 36% submitted a final project.
Inside the bootcamp: where people drop out
Share of the 2,304 people who joined Bootcamps 5 to 7 who reached each step.
- Joined the bootcamp100% · 2,304 people
- Showed up at least once78% · 1,792 people
- Attended 8 or more of 10 days42% · 975 people
- Submitted a final project36% · 828 people
- Passed the final project14% · 326 people
Source: Pareto Talent Bootcamps 5 to 7 (2025 to 2026), the cohorts where attendance and submissions were tracked. See method.
You don't need to run a bootcamp to use the lesson. Give your shortlist a short paid trial, a week of real tasks, and watch who finishes on time, who asks good questions and who goes quiet. Finishing is the most underrated hiring signal there is.
Step 5: Score a real work sample on a fixed rubric
The final project is a five-day build that looks like the job: a lead magnet, the landing page that sells it, a form that qualifies leads, the CRM pipeline and email workflows behind it, ads, a project board, an SOP and a short video explaining every decision. We score it on a 25-point rubric: five categories, five points each. The full rubric is published in our AI operator guide, and you can reuse it.
One rule does more work than any other: every deliverable must be a working link, and one broken link fails the whole project before anyone scores it. In client work, almost working is broken.
In our three latest cohorts, 38% of submitted projects passed. Across all cohorts, 518 people have passed, 16% of everyone who joined a bootcamp.
Source: Pareto Talent Bootcamps 5 to 7 (2025 to 2026), the cohorts where attendance and submissions were tracked. See method.
Research backs this approach. In the most recent large review of hiring methods, work sample tests and job knowledge tests predicted job performance far better than years of experience, which barely predicted it at all (Sackett et al., 2022).
What actually predicts job performance
Correlation between each hiring method and later job performance (0 = none, 1 = perfect). Updated 2022 meta-analysis.
- Structured interview0.42
- Job knowledge test0.40
- Work sample test0.33
- Cognitive ability test0.31
- Unstructured interview0.19
- Years of experience0.07
Source: Sackett, Zhang, Berry & Lievens (2022), Journal of Applied Psychology 107(11), operational validity estimates.
Step 6: Interview about the work, then match
Interview only the people who passed, and make the interview structured: the same questions, in the same order, scored on the same scale. Structured interviews are the single best predictor in that same 2022 review, roughly twice as predictive as the casual, unstructured kind. Ask about the project they just built: what was hardest, what they'd change, how they'd handle a new tool they've never seen.
Then match on fit, not just skill. We look at the founder's working style, the tools in their business, the hours they need covered and a behavioral profile on both sides. Within 24 hours of a founder's matching call, we send three hand-picked profiles, and the founder interviews and chooses.
A useful bar from our own process: under 15 out of 25 on the project means no certificate; 15 to 19 earns a certificate but no interview; 20 or more, plus a passed interview, makes someone eligible to be placed.
06 · What Predicts Success
What actually predicts a great remote hire?
This is the section no other hiring guide can write, because it comes from watching thousands of people go through the same test. Here's what our data says separates the people who pass from the people who don't.
1. Builders beat résumés. The career someone comes from predicts a lot. Among people who joined a bootcamp, former freelancers (28%) and marketers (27%) passed at almost 3 times the rate of former call-center agents (10%). Designers and IT staff also did well. People who've had to sell their own work, or ship things that go live, recognize the job; everyone else can learn it, and many do.
Pass rate by previous career
Share of bootcamp participants who passed the final project. Average: 16%. Careers with at least 80 participants.
- Freelancer (mixed gigs)28% · n = 165
- Marketing / social media / content27% · n = 191
- Design / creative / media production22% · n = 88
- IT / software / tech support20% · n = 138
- Translation / interpreting / languages17% · n = 344
- Hospitality / tourism / gastronomy16% · n = 135
- Administrative / office / reception16% · n = 198
- Logistics / operations / supply chain15% · n = 80
- Sales / retail14% · n = 235
- Own business / entrepreneur14% · n = 88
- Teaching / education13% · n = 283
- Project management / coordination12% · n = 185
- Executive or virtual assistant12% · n = 165
- Customer service / call center10% · n = 283
Source: Pareto Talent applicant data, Bootcamps 2 to 7 (2024 to 2026). See method.
2. A job title tells you less than a build. Whatever someone's last title was, the build showed us more about them than the résumé did. That matches the research: years of experience are one of the weakest predictors of job performance.
3. People who already build with AI stand out. In our latest cohort, applicants who already used Claude Code passed at 15%, against 6.9% for those who didn't. The same pattern held for Zapier, Make and Lovable. Ask candidates what they've built, then ask to see it.
Builders pass more often
Bootcamp 7 participants who passed the final project, by whether they already knew each tool.
- Knew the tool
- Did not
- Claude Code / Codex15.4% vs 6.9% · 188 participants knew it
- Zapier / Make13.6% vs 8.4% · 59 participants knew it
- Lovable / Vercel12.3% vs 8.1% · 130 participants knew it
Source: Pareto Talent Bootcamp 7 applicants (n = 1,314), October 2026. See method.
4. Attitude to AI matters. Applicants who described themselves as enthusiastic about AI passed at more than twice the rate of cautious ones (14% vs 5%).
5. English matters up to C1, then other things matter more. Above C1, pass rates flatten. Past that point, whether someone has built and shipped real work matters more than polish.
6. The pool changes shape as you filter. Put it together and you can watch it happen: former translators, marketers, freelancers and designers make up a bigger share of the people who pass than of the people who apply.
How the mix changes from applicant to operator
Previous career as a share of everyone who passed the final project, compared with its share of full applicants.
- Share of people who passed
- Share of applicants
- Translation / interpreting / languages12% vs 8%
- Marketing / social media / content10% vs 6%
- Freelancer (mixed gigs)10% vs 5%
- Design / creative / media production4% vs 3%
- Sales / retail7% vs 9%
- Teaching / education8% vs 8%
- Customer service / call center6% vs 9%
Source: Pareto Talent applicant data, Bootcamps 2 to 7 (2024 to 2026). See method.
The full dataset, with every chart and the method, is in our Latin America Remote Talent Report.
07 · Do It Yourself
How to vet remote candidates yourself
If you're hiring on your own, here's the short version of everything above, as a checklist:
The remote vetting checklist.
1. Write the 90-day outcome before the job post.
2. Require written answers, an English test and a short video. Score them on a fixed scale.
3. Run a live video call in English, unscripted, for at least 15 minutes.
4. Give a paid work sample that looks like the real job, with a deadline.
5. Fail any deliverable that doesn't work. No partial credit for broken links.
6. Interview only people who passed, with the same questions for everyone, scored.
7. Check two references, and ask what the person built, not just whether they were nice.
8. Verify identity on camera, with an ID, before you share any access.
9. Start with a paid trial week before committing.
Two cautions. First, verify identity: fake candidates and stand-ins are a real problem in remote hiring, so meet on camera and match the face to the ID before sending logins. Second, don't skip the work sample because the interview went well. Charm is not a predictor.
08 · Mistakes
7 mistakes founders make hiring remote talent in Latin America
- Hiring on price. The cheapest candidate is usually the most expensive hire. Optimize for the person who'll get you your time back fastest.
- Skipping the work test. Interviews reward people who interview well. A scored project rewards people who do the work.
- Assuming English from the country. Test it every time, live and in writing.
- Ignoring time zones. Decide how many hours of live overlap you need before you hire, and hire inside that window.
- Treating an employee like a contractor. If you set fixed hours, direct the work daily and pay a monthly salary, local law may see an employee, whatever your contract says. In the US, contractor status turns on behavioral control, financial control and the type of relationship (IRS); for someone working abroad, the local rules in their country also apply. Colombia tightened its rules on contractor agreements in 2025. Get advice from an employment lawyer in the person's country before you set up the relationship.
- No onboarding plan. Most remote hires that fail, fail in the first month, from unclear priorities and missing access. Plan the first 90 days before day one.
- Delegating tasks instead of outcomes. If you hand over a to-do list, you'll get a to-do list done. Hand over the result you want. Our guide to delegating without micromanaging covers how.
09 · Paying and Contracts
How to pay and contract remote talent in Latin America
This is not legal or tax advice, and the rules change often, so check with an advisor in the person's country. The basics:
- Contractor. The person invoices you and handles their own local taxes. You'll usually collect a Form W-8BEN. US minimum-wage and overtime law doesn't apply to work performed abroad (29 U.S.C. §213(f)), which is exactly why local law decides whether someone is really an employee.
- Employer of Record. A platform employs the person locally, runs payroll and benefits, and bills you monthly. You pay more, and you move the local employment risk off your company.
- Managed placement. The firm runs recruiting, training and matching, and you pay one monthly fee. Ask any firm exactly how the working relationship is structured.
- Paying in dollars. Many professionals in Latin America prefer to be paid in US dollars, especially in Argentina, where currency rules have changed repeatedly. International transfer services and contractor platforms make this simple.
10 · The First 90 Days
The first 90 days with a remote hire
Hiring well is half the job. The other half is the first three months. The pattern that works for us:
- Week 1: access and shadowing. Every login, every tool, a recorded walkthrough of how you work. Your new hire should save you hours by day 7, starting with the inbox and calendar.
- Month 1: own one area completely. Pick the area that drains you most and hand over the outcome, not just the tasks. Meet daily for 15 minutes.
- Months 2 to 3: build systems. Turn what they've learned into SOPs, automate the repetitive parts, and add a second area.
At Pareto, every placement comes with three guarantees: the Freedom 40 Guarantee (attend the Delegation Mastermind, follow the onboarding plan and meet with your Right Hand 10 minutes a day; if you don't get at least 40 hours back within your first 30 days, your next month is on us), the Matching Guarantee (if we don't find a match you're truly excited about, you owe nothing), and Lifetime Replacement (if the match is ever not right, for any reason, at any time, we replace your Right Hand at no cost). For the delegation side, start with how to delegate as a founder and how to stop being the bottleneck.
Hire Direct or Get Matched
Should you hire on your own or use a firm?
Hire on your own if you have the time to recruit hundreds of applicants, the patience to test every one of them on real work, and the stomach to start over when it doesn't work. Many founders do it well, and everything in this guide is yours to use.
Use a managed firm if your time is the scarce resource. You're paying for the funnel: someone else reads the 36,000 applications, runs the training, scores the projects and stands behind the result.
How to check a staffing firm before you sign.
1. Ask them to walk you through how they vet candidates, step by step, and what share of applicants gets through each step.
2. Ask who legally employs the person and who handles local taxes.
3. Ask how the person is paid and what they take home.
4. Get the replacement guarantee in writing, with its time window.
5. Interview the candidates yourself before you commit.
6. Ask for two client references you can call.
Want the funnel without running it?
The candidates we match today come through the process in this guide: the application, live training and a scored five-day build. Tell us what you need, and see three hand-picked profiles within 24 hours.
Series
The remote talent guide series
- Latin America Remote Talent Report 2026 The full data on 36,186 applicants: who applies, who finishes, who passes.
- Latin America vs the Philippines for executive assistants Time zones, English and cost, side by side.
- How to vet a remote executive assistant The work-sample test, step by step, with our rubric.
- What an executive assistant in Latin America costs Salary ranges by country and the real cost of each hiring model.
- Argentina vs Colombia: where to hire coming soon What our candidate data says about the two biggest talent pools.
Glossary
Remote hiring glossary
| Term | Meaning |
|---|---|
| LatAm | Short for Latin America: Mexico, Central America, South America and the Spanish- and Portuguese-speaking Caribbean. |
| Nearshore | Hiring in a nearby country with a similar time zone, such as a US company hiring in Latin America. |
| Offshore | Hiring in a distant country with a large time difference, such as a US company hiring in Asia. |
| Employer of Record (EOR) | A company that legally employs a worker in their own country, runs local payroll and benefits, and bills you. |
| Independent contractor | A worker who invoices you and handles their own local taxes. |
| Work sample test | A hiring test where the candidate does a realistic piece of the job, scored on a fixed rubric. |
| Structured interview | The same questions, in the same order, for every candidate, scored on a fixed scale. |
| CEFR (A1 to C2) | The standard scale for language level. C1 is advanced; most people who pass our final test test at C1 or above. |
FAQ
Frequently asked questions
How do I hire remote talent in Latin America?
Can you hire someone from another country to work remotely?
How much does it cost to hire a remote assistant in Latin America?
Which Latin American country has the best remote talent?
Do Latin American remote workers speak English well?
Do remote workers in Latin America work US hours?
How do you vet a remote candidate?
What's the difference between nearshore and offshore hiring?
Is it Latin America or South America?
Can I hire part-time remote talent in Latin America?
Which country has the best virtual assistants?
What's the difference between a virtual assistant and an executive assistant?
How long does it take to hire remote talent in Latin America?
Data Notes
About the data in this guide
Our data covers everyone who applied to Pareto Talent's training program for remote executive assistants and AI operators, Bootcamps 2 to 7 (2024 to 2026): 36,186 people. 5,840 completed the full application, 3,250 joined a live bootcamp and 518 passed the final project. Passing the final project is not the same as being placed with a client. Attendance and submissions were tracked for Bootcamps 5 to 7 only (2,304 people who joined), so the bootcamp-stage figures use those cohorts. Location comes from each applicant's browser time zone. Careers and attitudes were classified from applicants' own written answers by a language model and cross-checked by a second model. Every group shown has at least 30 people. Differences are associations, not causes. Full method and a free download: Latin America Remote Talent Report.
External data is linked where it's used and listed below. Salary ranges for Latin America come from staffing vendors that don't publish a method and are shown as ranges only.
Sources
- Pareto Talent, Latin America Remote Talent Report 2026, applicant data 2024 to 2026.
- EF Education First, EF English Proficiency Index 2025.
- IANA, Time Zone Database.
- US Bureau of Labor Statistics, Occupational Employment and Wages, May 2025: Executive Secretaries and Executive Administrative Assistants.
- Sackett, Zhang, Berry and Lievens (2022), Revisiting meta-analytic estimates of validity in personnel selection, Journal of Applied Psychology 107(11).
- HR Dive (2017), CareerBuilder: 74% of employers admit hiring the wrong candidate.
- IRS, Independent contractor or employee?
- US Code, 29 U.S.C. §213(f).
- Remote executive assistant salary estimates for Latin America: published 2026 guides from two LatAm staffing providers (no method published).
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