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Based on data from placing over 4,000 engineers at over 2,500 companies. Updated quarterly.
Hiring an AI/ML engineer in the US right now means competing against hyperscalers whose total compensation packages routinely clear $160,000 for senior-level work. For a mid-market engineering team that can't match that structure, the math rarely closes. Engineers based in Latin America give you a genuine alternative: senior-level AI/ML talent working in your time zone, at all-in costs that fit a real budget.
The figures on this page cover mid-level and senior AI/ML engineers across Latin America, priced in USD. Use the seniority table to benchmark compensation by band, then read through the sections for what actually moves those numbers, what the all-in cost looks like, and how to run a search through Revelo.
| Seniority | Median salary (USD/yr) | Typical range |
|---|---|---|
| Mid | $66,000 | $60,000-$76,000 |
| Senior | $72,000 | $66,000-$84,000 |
All-in cost includes payroll, benefits, and compliance handled through Revelo.
Specialization is the sharpest factor on AI/ML pay across the region. A mid-level engineer building and tuning recommender systems or NLP pipelines sits toward the lower end of the mid band, around $60,000. Add production MLOps ownership, such as model monitoring, inference cost optimization, and CI/CD for model deployments, and that same seniority level moves toward $76,000 at the top of the range.
Senior engineers who span the full research-to-production handoff, from experiment tracking through serving infrastructure, command medians around $72,000 and can reach $84,000 at the top of the senior band. Computer vision and LLM fine-tuning experience push compensation higher within each band because those specializations are genuinely scarce relative to demand. An engineer who owns model evaluation frameworks, manages inference latency targets, and communicates tradeoffs to product teams is harder to find than one who trains a classifier and hands it off.
Research-heavy scope also pulls pay toward the upper end of each band.Engineers who own the full data loop, including dataset curation, feature engineering, and evaluation framework construction, carry more weight in compensation negotiations than those who receive a clean dataset and return a model artifact. That end-to-end accountability is what separates the high end of the mid band from the low end of the senior band, and it shows up in the range spread across both tiers.
The all-in cost for a mid-level AI/ML engineer through Revelo runs $94,000 per year. For a senior engineer, the figure is $103,000. Both figures include engineer compensation, PEO protections, PTO, holidays, and Revelo's margin. There is no separate placement fee layered on top.
Compared with Revelo's benchmark for a comparable US-based senior hire at $160,000, the senior AI/ML all-in cost of $103,000 represents a saving of roughly 55%. On a two-engineer AI/ML team, that gap is wide enough to fund a third hire at the mid-level band, without cutting scope or seniority on either existing role.
Revelo publishes its pricing openly. You can run your own numbers at the Revelo pricing calculator, or request the Salary Guide for a breakdown by stack and seniority. The onboarding model requires a refundable security deposit equal to one month of the engineer's payment, credited against your final invoice, so it adds nothing to the total cost.
Revelo draws from a network of 400,000+ pre-vetted engineers across 18 Latin American countries. AI/ML engineers hired through Revelo come from the same rigorously screened network: the acceptance rate across the platform sits at the top 2% of applicants, and 73.1% of actual placements across all roles land at the senior level. When you open a search for an AI/ML engineer, you're drawing from a pool that has already been filtered hard.
You submit your requirements, and Revelo delivers a shortlist in 72 hours. Each candidate dossier includes a recorded intro video so you can assess communication style and technical clarity before scheduling a live interview. The average time from search start to hire is 14 days.
The first 14 days are risk-free: if the fit isn't right, you walk away with no financial exposure and Revelo backfills. After that, the engagement runs month-to-month with no long-term contract and no cancellation penalty. More than 89% of placed engineers stay with their client teams for 3 or more years, which matters when you're staffing roles that require deep model and systems context. Visit the AI engineer hiring page to start a search or review available profiles.
Revelo operates as a PEO (Professional Employer Organization) across the 18 countries where it places engineers. Payroll, tax compliance, and benefits run through one vendor under native co-employment, not through a third-party layer bolted on after the fact. Engineers are paid in their local currency; you receive a single consolidated invoice in USD.
Every placed engineer signs an NDA and IP assignment before starting. Because Revelo's PEO structure is built around how engineering talent in Latin America prefers to work, you avoid the misclassification exposure that comes with platforms relying on 1099 contractor arrangements. For a US company putting AI/ML engineers on production systems with access to model weights and training data, that structure matters.
Figures are medians of signed Revelo placements, based on data from placing over 4,000 engineers at over 2,500 companies, in a US-remote employment context. We use the median (robust to outliers), trim implausible values, and only publish a seniority band or role breakdown where the underlying sample is deep enough to be reliable. Salaries are the engineer's compensation; all-in employer cost layers Revelo's payroll, benefits, and compliance on top.
A mid-level AI/ML engineer based in Latin America carries an all-in cost of $94,000 per year through Revelo; a senior engineer runs $103,000. Both figures include compensation, PEO protections, PTO, and holidays. Use the Revelo pricing calculator to get a current figure for your specific requirements.
The all-in cost covers engineer compensation, PEO co-employment protections, PTO, holidays, and Revelo's margin. Included perks extend to coworking space access, Gympass, and laptop support. There is no separate placement fee on top of the quoted figure.
The figures reflect what engineers based in Latin America earn working full-time and embedded on US company teams, priced in USD. These are nearshore, US-aligned rates at mid and senior levels, not local-market salaries expressed in local currency.
The region produces strong candidates across NLP, computer vision, recommender systems, and MLOps, including engineers with production experience in model monitoring, inference cost optimization, and research-to-production handoff. Specializations such as LLM fine-tuning and model evaluation framework ownership are less common and tend to command compensation at the upper end of each seniority band.
You submit your requirements and receive a shortlist of pre-vetted candidates within 72 hours, each with a recorded intro video included in the dossier. The average time from search start to hire is 14 days. Revelo handles payroll, compliance, and benefits through its PEO infrastructure, and the first 14 days carry no financial risk. Visit Revelo's AI engineer hiring page to start a search.
A senior AI/ML engineer hired through Revelo carries an all-in cost of $103,000, compared with Revelo's benchmark for a comparable US-based senior hire at $160,000. That gap represents roughly 55% in savings, without reducing scope or seniority. The engineers filling these roles work on production ML systems with the same time-zone overlap as a US-based team member.