Latin America Emerges as Key Source for AI Post-Training Developer Talent

In the evolving landscape of artificial intelligence development, a notable shift is occurring as tech companies increasingly seek developer talent from Latin America to support the post-training phase of large language models (LLMs). While many organizations emphasize returning to in-person work environments, the demand for specialized AI engineers in Latin America continues to surge, driven by the need for expert human data to refine and enhance AI coding capabilities.

Revelo, a full-stack platform boasting over 400,000 vetted developers across Latin America, exemplifies this trend. According to CEO Lucas Mendes, the platform has witnessed a significant increase in demand for engineers who specialize in post-training LLM tasks. These engineers provide critical human-generated data that helps AI models perform better in high-value, specific coding tasks, a crucial step in the AI development cycle.

This surge in demand is reflected in Revelo’s financials, with LLM training hires accounting for 22% of the company’s revenue in 2024. U.S. enterprises such as Intuit, Oracle, and Dell, alongside major hyperscale AI providers, rely on Revelo to fill specialized coding roles that support the post-training phase of AI models. The platform’s ability to connect companies with experts in specific programming languages addresses critical gaps in AI development workflows.

The rise of remote and distributed work during the COVID-19 pandemic expanded the potential for Latin American talent to serve U.S. companies, revealing the benefits of nearshoring. Unlike traditional offshoring, nearshoring offers time zone alignment and cultural proximity, which enhance collaboration and productivity. Despite a broader industry trend toward returning to office-based work, the demand for Latin American developers remains robust, underscoring the strategic value of nearshore talent pools.

Revelo’s growth strategy includes acquiring competitors focused on Latin American talent, such as Alto and Paretisa, to build a comprehensive global talent backbone for the AI era. This consolidation reflects the increasing importance of Latin American developers in powering the next generation of AI innovations, particularly in the critical post-training phase of LLMs.

Broader Significance and Industry Impact

The trend of sourcing AI post-training talent from Latin America highlights a strategic evolution in how companies approach AI development. By leveraging nearshore talent pools, organizations can accelerate the refinement of LLMs, ensuring these models perform optimally in specialized coding and other expert tasks. This approach not only addresses talent shortages in the U.S. but also fosters a more integrated and efficient AI development ecosystem.

For businesses and tech leaders, understanding and leveraging this nearshoring trend is essential to maintaining competitive advantage in AI innovation. Platforms like Revelo provide a proven model for accessing high-quality, cost-effective developer talent that can meet the complex demands of post-training AI workflows. As AI continues to evolve, the integration of global talent networks will be a defining factor in successful AI deployment and scaling.

QuarkyByte’s expertise in AI talent sourcing and market insights equips organizations to navigate this dynamic landscape effectively. By harnessing detailed data and strategic guidance, QuarkyByte helps enterprises optimize their AI development pipelines with nearshore talent, ensuring efficient post-training processes and superior model performance.