Data & AI

Hire Pre-Vetted LatAm Data & AI Talent

Data analysts, data engineers, data scientists, ML/AI engineers and analytics engineers. Strong fundamentals from top LatAm universities (UBA, ITAM, PUC, Andes). 55% cost.

Get 3-5 vetted candidates See salary ranges

Salary ranges (USD, all-in)

All ranges include EOR fee, employer load and benefits typical of the role. Updated Q1 2026 against Howdy, Deel, Terminal.io, Levels.fyi and CodersLink.

SeniorityRange USD
Data Analyst (Mid)$42-62K
Data Engineer (Senior)$72-98K
Data Scientist (Senior)$78-105K
ML Engineer (Senior)$85-115K
AI Engineer / LLMOps$95-130K

Common tools and stacks

Python · SQL · dbt · Snowflake · BigQuery · Databricks · Airflow · Looker · Tableau · Hex · Mode · TensorFlow · PyTorch · Hugging Face · LangChain · OpenAI · Anthropic · AWS Bedrock · SageMaker

How we split evaluation

NearTalent owns pre-screening; your team owns final fit. This is the boundary that produces 96% 90-day retention.

What NearTalent evaluates

  • Technical assessment custom to data stack (SQL + Python live)
  • Portfolio review (notebooks, models, dashboards, GitHub when permitted)
  • Statistical reasoning interview for Senior+ Data Scientists
  • English fluency for cross-functional collaboration

What you validate

  • Domain expertise (ML for recommendations vs forecasting vs NLP)
  • Familiarity with your specific data warehouse and modeling tooling
  • Culture fit with your data team
  • Final compensation negotiation

Where to source from

Argentina for Senior+ ML/AI engineering (best price/quality). Chile for data engineering at scale. Mexico for analytics volume.

Typical use cases

Build analytics function from scratch

1 Analytics Engineer + 1 Senior Analyst for the cost of one US Senior Analyst.

Scale ML team

Add 2-3 ML engineers to an existing US-led ML organization. Embedded as production engineers.

LLM/AI product team

AI Engineer + Data Engineer + Analyst for a new AI-powered feature. ~$200K total annual cost vs $550K+ in US.

Sample roles we place

Senior Analytics Engineer (dbt + Snowflake) Senior Data Scientist (Python + ML) ML Engineer (production AI systems) AI Engineer (LangChain + RAG + Bedrock) Senior Data Engineer (Airflow + Spark)

FAQ

Do LatAm data engineers know modern tooling (dbt, Snowflake, Databricks)?

Yes. Top universities (UBA, ITESM, ITAM, PUC) and bootcamps in LatAm teach modern data stack. Argentina especially has strong fundamentals from Computer Science programs — they pick up new tools fast.

How strong is the LatAm AI/LLM talent pool?

Smaller than software engineering but growing fast. We typically shortlist 3 candidates per role for Senior+ AI Engineer; expect 18-21 days vs 14 for general engineering.

Can they work with US clients on regulated data (PII, healthcare, financial)?

Yes with proper structure. EOR-based engagements with NDAs and data residency clauses handle most cases. For healthcare PHI specifically, additional BAA process required.

What's the typical English level for data roles?

C1+ for Senior+ (active in cross-functional meetings). B2+ for Mid (written communication strong, verbal varies). All assessments include English evaluation.

Ready to hire your first data & ai role?

Tell us the role, the seniority and your timeline. We come back within 48 hours with 3 pre-screened candidates and a transparent quote in USD.

Book a discovery call

Operational guidance, not legal or tax advice. Final structures should be validated with US counsel.