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Hire Data and AI Talent in Latin America

Build your remote team with data analysts who surface insights, data engineers who build pipelines, and ML engineers who put models into production. Hire data and AI professionals in 21 days.

Data & AI

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Build Your Remote Data and AI Team With Top Nearshore Talent

You get top candidates in under 5 days, hires in 3 weeks, lower costs than US hiring, and a partner who manages the whole process.
500+
Data and AI hires placed
97%
placement success rate
180-day
replacement guarantee
160k+
pre-vetted LatAm candidates
Clients Love Us
High Performer
High Performer

Key Data and AI Roles Near Fills

Access pre-vetted data and AI talent across the roles that power your reporting, infrastructure, and AI strategy.
Data Analyst

Data Analyst

Data analysts experienced in Tableau, Looker, and Python, who can present findings to non-technical audiences without losing the room.

Data Engineer

Data Engineer

Data engineers with hands-on experience with ETL pipelines, cloud data warehouses, and transformation layers in dbt, BigQuery, Snowflake, Fivetran, and Airflow.

Data Scientist

Data Scientist

Data scientists who combine statistical modeling depth and Python proficiency across pandas, scikit-learn, and NumPy, with the business intuition to turn model output into recommendations stakeholders can act on.

Machine Learning Engineer

Machine Learning Engineer

ML engineers who take models from notebook to production without them breaking a week later. Experienced with PyTorch, TensorFlow, scikit-learn, and cloud ML platforms including SageMaker, Azure ML, and Vertex AI.

AI Developer

AI Developer

AI developers who build with LangChain, RAG pipelines, function calling, agentic workflows, and GPT or Claude integrations. They bring hands-on LLM application experience and familiarity with the current model ecosystem.

Power BI Developer

Power BI Developer

Power BI developers who build dashboards that load fast and get used. They bring DAX, Power Query, and data modeling proficiency, experience connecting Power BI to enterprise sources, including SQL Server and SharePoint.

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Hire Every Data & AI Role You Need

Near recruits across every role in the data and AI function, so you can build the whole team in one place, from the analyst turning your data into decisions to the ML engineer building the models that power your product. The roles listed here are just a sample of what we recruit for.

Why US Companies Build Remote AI and Data Teams With Near

Data Build the team you need

Build the team you need

Hire data and ML engineers, analysts, and AI specialists at up to 70% less than US hires, without compromising on technical depth or the stack experience you require.

Data Hire top 1% talent

Hire top 1% talent

If a candidate can’t pass a technical screen or explain their work clearly, they don’t reach your shortlist.

Data and AI roles expertise

Data and AI roles expertise

We’ve placed data and AI specialists across companies ranging from early-stage startups to enterprise teams. We know what strong looks like at every level of the function.

Data Shortlists in 3-5 days

Shortlists in 3-5 days

Qualified candidates in front of you in days, screened for technical proficiency, English fluency, and the specific tools your team runs on.

Data A true partnership

A true partnership

Your dedicated recruiter learns your stack, your standards, and your team’s working style, and stays in your corner long after the hire is made.

Data Risk-free, full-service hiring

Risk-free, full-service hiring

Sourcing and vetting to payroll and compliance, backed by a 180-day replacement guarantee. Pay nothing up front.

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Why Hire Data and AI Experts From Latin America 

Building a remote data and AI team in Latin America gives you the perfect combination of talent quality, cost efficiency, and time zone alignment.

Data & AI
  • Salary savings that let you hire more senior talent than your US budget would support, or build out a full team. 
  • Technical depth that is recognized by the industry. Multiple AI companies maintain dedicated hubs in LatAm.
  • Communication and work style that matches US norms: LatAm engineers surface blockers, push back on bad specs, and take initiative rather than waiting for a task list.
  • Full US workday overlap, so debugging sessions, standups, and stakeholder calls happen live, not through an async queue.

Our Process: How to Hire Data and AI Professionals

Hiring doesn't have to take months. Our streamlined approach connects you with the right talent quickly.

The right hire in

21days

1. Discovery Call

We learn your business, the role, and your preferences.

2. Kickoff & Calibration

You meet your dedicated recruiter, align on the hiring process, and review sample profiles.

3. Vetted Shortlist

Hiring doesn’t have to take months. Our streamlined approach connects you with the right talent quickly.

4. Interviews & Selection

We coordinate everything. You just choose.

5. Onboarding Support

We handle contracts, equipment, payroll, and compliance.

6. Ongoing Support

We want to ensure talent retention. Most clients come back for second, third, and twentieth hires.

Join Hundreds of US Companies Hiring Data and AI Talent in LatAm with Near

G2 and client feedback consistently highlight what sets Near apart as a leading recruitment company across these key areas:

Efficiency

“The experience was nothing short of exceptional. From start to finish, the entire process was remarkably smooth, and the team at Near played a pivotal role in making our hiring journey a success.”

Partnership approach

“It really just felt like Near was embedded in our team. It felt like we’d hired an in-house recruiter. This made my job really easy."

Speed

“Near provides an easy hiring experience. They saved me a lot of time handling all the posting, sourcing, screening, and initial interviews. All I have to do is conduct final interviews to ensure cultural alignment. I made a hire in only 14 days.”

Comprehensive support

“Near’s team gave us confidence that we’d hire great talent quickly. They did a deep dive into our requirements, asked the right questions, and communicated our needs and goals back to us. They advised us on compensation, different talent markets, and our hiring process.”

Great culture fit

“It was shocking to see the difference between the talent Near brought versus other firms I worked with. Our hires are extraordinary and a great cultural fit.”

Top 1% talent

“The talent Near provided is incredibly high quality. I worked at Google for 10 years, where the bar for talent is very high, and I would say the people I placed through Near are comparable to the people I worked with at Google.”

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Clients Love Us
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US vs. LatAm Data & AI Salary Comparison and Savings

With Near, you stay in control of compensation. We provide benchmarks. You set the compensation offer.

Role
Level
LatAm Monthly (USD)
LatAm Annual (USD)
US Annual (USD)
Savings
Data Analyst
Mid-Level
$3,000 – $4,000
$36,000 – $48,000
$69,000 – $113,000
Up to 53%
Data Scientist
Mid-Level
$4,000 – $6,000
$48,000 – $72,000
$136,000 – $231,000
Up to 67%
Data Engineer
Mid-Level
$4,500 – $5,000
$54,000 – $60,000
$104,000 – $175,000
Up to 59%
Machine Learning Engineer
Mid-Level
$4,000 – $6,000
$48,000 – $72,000
$120,000 – $207,000
Up to 63%
AI Developer
Mid-Level
$4,500 – $6,000
$54,000 – $72,000
$124,000 – $194,000
Up to 60%
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Our LatAm vs. US Salary Guide has figures for many more roles.

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Build the data and AI function your business needs.

Get access to top candidates in 3 days. Hire in under 3 weeks. Free to interview, only pay if you hire.

Frequently Asked Questions

Mid-level data engineers in Latin America typically earn $4,500 to $5,000 per month, and mid-level AI developers typically earn $4,500 to $6,000 per month. 

Most companies find they can hire two LatAm engineers for the cost of one US hire, or redirect the savings toward a more senior hire than their US budget would support.

During your discovery call with Near, we share current market rates for the specific role and seniority level you are targeting. 

Once you have interviewed candidates and are ready to move forward, we’ll guide you to an offer that’s competitive enough to attract and retain top talent, without overpaying.

Most clients receive their first shortlist of vetted candidates within 3 to 5 business days and complete the hire in under 3 weeks from the kickoff call.

Yes. Latin America—Argentina, Brazil, and Colombia, in particular—has a deep and well-established engineering community for data and AI work. And that reputation is not new. Multiple Silicon Valley AI companies have built dedicated engineering hubs in LatAm.

Near screens specifically for the stacks your team uses before you see a resume. For data engineering roles, that means dbt, BigQuery, Snowflake, Fivetran, and Airflow.

For AI engineering roles, it means LangChain, RAG pipeline construction, LLM APIs, and full-stack deployment capability.

For ML engineering, we look for SageMaker, Azure ML, PyTorch, and MLOps practices.

Yes. The data and AI talent you hire through Near will be in your time zone or only an hour or two off, which means they are available during your business day, rather than sleeping through your standup.

Yes, Near can help you hire a complete data or AI team.

Companies often start with a single data engineer or analyst, see the quality firsthand, and return within months to add an AI developer, a second engineer, or a BI analyst for a separate team.

Near places data engineers, analysts, scientists, AI developers, and Power BI developers together for clients building out full remote data functions, including clients doing a wholesale transition away from offshore teams based in Asia.

Near backs every placement with a 180-day replacement guarantee. If the hire does not work out within that window, Near will find you a replacement at no additional recruiting fee.

The guarantee reflects how Near approaches vetting: the goal is a hire who stays and delivers, not one who clears a minimum bar and creates a restart six months later.

Discover Nearshore Hiring Benchmarks and Trends. Download the FREE Report Now.

2025 benchmark hiring report