A new wave of remote employment is transforming opportunities in Latin America, as companies worldwide pay humans more than $1,000 per month to train artificial intelligence systems, including chatbots and robots. According to Deel’s State of Global Hiring Report 2025—the original source behind recent coverage—the demand for AI trainers has skyrocketed, making these roles the fastest-growing job category on the global payroll platform.
The report reveals that cross-border hiring for general AI trainer positions surged 283% in 2025, driven by the need for human oversight in data labeling, response verification, and specialized validation in fields such as medicine, economics, and translation. Globally, more than 70,000 workers are now training AI systems for over 600 organizations, with Latin America emerging as a key hub due to competitive costs, bilingual talent, and compatible time zones.
Hourly rates in the region vary by country and expertise level, allowing specialists to exceed the $1,000 monthly threshold through full- or part-time work. Argentina leads with approximately $20 per hour, followed by Brazil and Mexico at around $15 per hour, Chile at $14.50, and Colombia at $10 per hour. These figures enable experienced trainers to earn well above entry-level wages, especially on flexible remote contracts with international firms.
Country-specific growth has been dramatic. Colombia recorded a staggering 745% increase in AI trainer hires on Deel’s platform, while Argentina saw 724% growth, Brazil 642%, Mexico 408%, and Chile 209%. The report notes that these percentages are amplified because the category started from a relatively low base, yet the absolute expansion underscores the sector’s rapid emergence.
Natalia Jiménez, Deel’s Director of Business Development for Latin America, explained the trend in the report’s context: “In newer trends, such as the emergence of roles linked to AI system training, growth is largely due to the fact that these are emerging positions starting from a still-low base.”
The appeal of Latin American talent extends beyond cost. Analysts highlight bilingual professionals’ cultural proximity to U.S. markets, enabling more accurate training of multilingual AI models. This has positioned countries like Mexico, Argentina, and Colombia as attractive destinations for global tech companies seeking to refine chatbots, recommendation engines, and robotic systems.
Deel’s data, drawn from over one million worker contracts, aligns with broader industry forecasts. As AI adoption accelerates—with projections from the International Data Corporation estimating a $19.9 trillion contribution to the global economy by 2030—the reliance on human trainers remains critical for improving model accuracy and safety.
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