AI jobs are no longer limited to frontier labs in San Francisco. In 2026, LATAM candidates can target enterprise AI teams, fintech platforms, nearshore product studios, and AI-native contractor networks if they know how to read the hiring signal.
In Q1 2026, FlexJobs reported that remote job postings grew 20%, while 65% of remote roles targeted experienced professionals (FlexJobs, Remote Work Index Q1 2026, 2026). That matters because AI hiring rewards proof: shipped systems, strong English, reliable async work, and evidence that you can evaluate AI output.
This guide ranks companies by practical job-search value for LATAM talent, not brand fame. We weighted current LATAM fit, AI relevance, role breadth, skill transfer, and how clearly a candidate can position themselves. Not every company below is a pure AI lab; some are AI-heavy product or enterprise companies where AI is central enough to shape hiring.
Key Takeaways
- FlexJobs found remote postings grew 20% in Q1 2026, but 65% favored experienced talent.
- Enterprise AI roles fit cloud, data, MLOps, consulting, and implementation profiles.
- AI-native startups fit builders who can evaluate, improve, or operationalize LLM systems.
- LATAM candidates should apply with proof of AI workflows, not just AI tool names.
Quick Shortlist: Which AI-First Companies Should LATAM Job Seekers Watch?
In 2026, Near reported a 250% year-over-year increase in demand for software engineers from Latin America, and 98% of engineering hires in its data were mid-level or senior professionals (Near, 2026 State of LatAm Hiring Report, 2026). The best targets are companies where AI is tied to revenue, product delivery, or model quality.
| Rank | Company | Best For | Company Type | Strong Candidate Signal |
|---|---|---|---|---|
| 1 | Globant | AI consulting and product engineering | Enterprise services | LATAM roots, AI services, global clients |
| 2 | Accenture | Enterprise AI implementation | Enterprise consulting | AI, data, cloud, and change programs |
| 3 | IBM | Governed enterprise AI | Enterprise technology | watsonx, hybrid cloud, AI governance |
| 4 | Mercado Libre | Applied AI at LATAM scale | Regional product company | Search, fraud, logistics, fintech, ads |
| 5 | Nubank | AI in financial products | Regional fintech | Data, risk, personalization, support AI |
| 6 | Deel | AI plus global workforce systems | Remote-first SaaS | HR, payroll, compliance, AI automation |
| 7 | Turing | AI training and application engineering | AI talent platform | Remote AI work with U.S. companies |
| 8 | Scale AI / Outlier | Model evaluation and data work | AI data platform | RLHF, evals, domain expertise |
| 9 | Invisible Technologies | AI operations and automation | AI operations startup | Process design plus human-in-the-loop AI |
| 10 | Torre.ai | AI recruiting and matching | LATAM-founded AI startup | Recruiting automation, job matching, data profiles |
We used a five-point hiring signal score: LATAM accessibility, AI centrality, role diversity, public hiring clarity, and career upside. Enterprise companies scored higher for stability. AI-native platforms scored higher for role access and speed.
1. Globant: Best for LATAM Engineers Moving Into Enterprise AI
In 2026, Globant says it has more than 30,000 people across 35 countries and describes itself as a place where AI, technology, and creativity converge (Globant, Careers, 2026). For LATAM engineers, that makes it one of the most direct AI career bridges from regional talent to global enterprise clients.
Globant does software engineering, digital transformation, cloud, data, design, and AI services for large companies. Its AI work is not one isolated team. It sits across client projects, product studios, enterprise modernization, and industry-specific delivery.
Tech to know: Python, Java, JavaScript, TypeScript, React, cloud platforms, data engineering, MLOps, model APIs, prompt evaluation, test automation, and client architecture. For AI roles, add RAG, vector databases, LLM evaluation, and governance basics.
Best job seeker profile: mid-to-senior engineers, data engineers, QA automation leads, cloud engineers, product designers, and technical project managers who can work with clients. A strong candidate can explain business context, not only code.
Globant is a strong AI-first target for LATAM talent because its regional roots match its enterprise client demand. Candidates should show shipped systems, English communication, and one portfolio project where AI improves a workflow.
2. Accenture: Best for Enterprise AI Consultants and Implementers
In 2026, Accenture's public careers navigation highlights Artificial Intelligence and Data as a core capability, and reporting said the company had trained 550,000 of 780,000 employees in generative AI (Accenture Careers, 2026; The Guardian, 2026). This is a better fit for candidates who can help large companies adopt AI safely.
Accenture sells consulting, technology implementation, operations, cloud, data, cybersecurity, and AI transformation. For LATAM candidates, the opening is often not "AI researcher." It is AI business analyst, cloud data engineer, prompt workflow designer, responsible AI consultant, or GenAI implementation engineer.
Tech to know: Azure, AWS, Google Cloud, Snowflake, Databricks, Python, SQL, APIs, enterprise integration, data governance, ML lifecycle tools, Power Platform, SAP, Salesforce, and GenAI orchestration.
Best job seeker profile: consultants, data analysts, cloud engineers, enterprise developers, Scrum masters, and business process specialists who can translate messy operations into AI-assisted workflows. This path rewards structured communication and stakeholder trust.
Accenture is useful because AI adoption is now part of mainstream consulting delivery. Candidates who can combine AI fluency with finance, supply chain, HR, customer service, or operations knowledge will have a better story than candidates who only list model names.
3. IBM: Best for Governed AI, Hybrid Cloud, and Regulated Industries
In 2026, IBM positions watsonx as an AI platform for trusted data, AI-powered insights, developer tooling, AI agents, and governance (IBM, watsonx, 2026). That makes IBM a strong fit for candidates who want enterprise AI without pretending risk, compliance, and data quality are side issues.
IBM works across cloud, consulting, infrastructure, automation, security, data, and AI. Its AI story centers on watsonx.ai, watsonx.data, watsonx Orchestrate, code assistants, Granite models, and watsonx.governance.
Tech to know: Python, SQL, Red Hat OpenShift, Kubernetes, Linux, hybrid cloud, APIs, data catalogs, AI governance, model monitoring, automation, Ansible, and enterprise security. For AI roles, learn how model lifecycle management works in regulated environments.
Best job seeker profile: cloud engineers, platform engineers, data engineers, security engineers, backend developers, and consultants who can work inside complex enterprise constraints. IBM is not the place to pitch only speed. Pitch reliability, traceability, and production discipline.
IBM is one of the best AI-first enterprise targets when your background includes banks, telecom, government, insurance, healthcare, or large infrastructure. Can you explain how to deploy AI without breaking trust? That is the interview theme.
4. Mercado Libre: Best for Applied AI at LATAM Scale
In 2026, PwC reported that the Technology, Media, and Telecom sector leads AI hiring intensity, with nearly one in eight new roles AI-related (PwC, 2026 Global AI Jobs Barometer, 2026). Mercado Libre fits that pattern because its marketplace, payments, logistics, ads, fraud, and search products all depend on data-heavy systems.
Mercado Libre is not a lab, but it is one of the most important applied AI employers in Latin America. Its AI work shows up in search ranking, recommendations, risk scoring, fraud detection, logistics routing, customer support, pricing, advertising, and seller tools.
Tech to know: Java, Go, Python, SQL, machine learning, feature stores, event streaming, experimentation, search, recommender systems, cloud infrastructure, observability, and high-scale backend systems.
Best job seeker profile: backend engineers, ML engineers, data scientists, analytics engineers, product analysts, fraud specialists, and operations technologists with Spanish or Portuguese fluency. This is a strong option if you want AI tied to real consumer behavior at regional scale.
The smart move is to pitch domain AI, not generic AI. For Mercado Libre, that means showing how models improve conversion, risk, delivery speed, seller quality, buyer trust, or support resolution.
5. Nubank: Best for AI in Fintech, Risk, and Personalization
In 2026, PwC found that financial services is a major sector for AI-driven job change, and that companies exposed to AI are seeing faster wage and headcount growth when AI creates new value (PwC, 2026 Global AI Jobs Barometer, 2026). Nubank is a strong LATAM target because finance creates direct use cases for AI.
Nubank builds digital banking, credit, payments, lending, support, and financial services across Brazil, Mexico, and Colombia. Its AI opportunities sit in risk, credit underwriting, fraud detection, customer operations, personalization, internal search, and product analytics.
Tech to know: Clojure, functional programming, Python, SQL, data engineering, ML systems, risk models, experimentation, event-driven architecture, cloud infrastructure, and privacy-aware analytics. Knowledge of credit, payments, and compliance helps a lot.
Best job seeker profile: engineers and data people who like regulated products, consumer-scale systems, and measurable outcomes. A good Nubank candidate can talk about model impact and user trust in the same answer.
Nubank is strongest for candidates in Brazil, Mexico, Colombia, and Uruguay who want AI work connected to financial inclusion and high-volume consumer products. Show judgment. A financial AI model that is fast but unfair is still a failed product.
6. Deel: Best for AI in Global Hiring, Payroll, and Compliance
In 2026, Deel reported that AI trainer roles grew 283% cross-border in 2025 and now span 70,000+ workers across 600+ organizations (Deel, State of Global Hiring Report, 2026). Deel is a natural watchlist company because its product sits at the center of global work, payments, compliance, and contractor operations.
Deel helps companies hire, pay, manage, and support international workers. Its AI relevance is practical: compliance checks, HR workflows, payroll automation, worker classification, knowledge search, onboarding, support, and internal operations.
Tech to know: backend engineering, TypeScript, React, Node.js, Ruby, Python, workflow automation, product analytics, compliance data, document processing, LLM APIs, and AI-assisted support tools.
Best job seeker profile: product engineers, backend engineers, AI workflow builders, solutions engineers, HR-tech operators, compliance specialists, payroll analysts, and customer success profiles with strong English. LATAM candidates can use their own cross-border work context as proof.
Deel is a good target because AI and global hiring are linked. If you understand contractor payments, remote work norms, and workflow automation, your market context becomes part of your advantage.
7. Turing: Best for Remote AI Work With U.S. Companies
In 2026, Turing describes its talent path as remote AI work with global teams, including software developers, data scientists, engineers, domain experts, AI advancement, and application engineering (Turing, Jobs, 2026). This makes it one of the clearest AI-native paths for LATAM professionals who want contractor-style access.
Turing works on AI talent, LLM post-training, datasets, model evaluation, AI systems, and deployment for companies. Its jobs can include coding tasks, model feedback, application engineering, data science, domain review, and AI-assisted product implementation.
Tech to know: Python, JavaScript, TypeScript, Java, C++, SQL, data structures, algorithms, ML basics, LLM evaluation, coding benchmarks, test writing, API integration, and clear technical writing.
Best job seeker profile: developers, data scientists, STEM experts, and domain professionals who can pass assessments and work independently. This is not a passive job board. Treat it like a skills marketplace where your profile, tests, and availability matter.
Turing is especially useful if you have strong English and want remote exposure to U.S. companies. The best candidates show one of two things: deep coding ability or domain expertise that helps models reason better.
8. Scale AI / Outlier: Best for Model Evaluation and AI Training Work
In 2026, Deel reported 70,000+ AI trainers across 600+ organizations, with pay ranging from $15 to $75 per hour depending on skill level and project needs (Deel, State of Global Hiring Report, 2026). Scale AI and Outlier sit directly in this AI training market, but candidates should understand the tradeoffs.
Scale AI provides data, evaluation, RLHF, red teaming, and AI infrastructure. Outlier is its contributor path for AI training work. The work can include rating model answers, writing prompts, checking reasoning, translating, coding tasks, safety evaluation, and expert feedback.
Tech to know: prompt writing, evaluation rubrics, factual checking, Python for coding projects, math or STEM reasoning, domain expertise, bilingual writing, and careful documentation. For higher-value work, subject-matter depth matters.
Best job seeker profile: bilingual professionals, coding experts, STEM graduates, lawyers, clinicians, economists, writers, and teachers who can evaluate answers with precision. This can be a side income path, but it may be inconsistent.
From reviewing AI training roles, the biggest mistake is treating them like easy prompt work. The better-paying tasks usually test expertise, consistency, and instruction-following under tight rubrics.
9. Invisible Technologies: Best for AI Operations and Automation Builders
In 2026, PwC reported that AI-exposed junior roles are seven times more likely to demand traditionally senior skills such as leadership and strategic thinking (PwC, 2026 Global AI Jobs Barometer, 2026). Invisible Technologies fits that shift because AI operations roles often ask candidates to combine process judgment, tooling, and client delivery.
Invisible Technologies builds AI-enabled operations for companies that want to automate workflows without losing human oversight. For job seekers, this is a different AI path. You may not train frontier models, but you can design the operating system around AI work.
Tech to know: workflow automation, AI agents, APIs, spreadsheets, SQL, Python, Zapier-style automation, process mapping, QA, data operations, prompt systems, and client-facing documentation.
Best job seeker profile: operations analysts, automation specialists, implementation managers, data operations leads, project managers, and product-minded generalists. This is a strong fit if you can turn an unclear business process into repeatable steps.
Invisible-style roles reward people who are technical enough to build systems and operational enough to measure them. If your background mixes customer operations, data cleanup, QA, and automation, do not undersell it.
10. Torre.ai: Best LATAM-Founded AI Recruiting Platform to Watch
In 2026, AI recruiting matters because the job search itself is becoming more automated; PwC found skills in AI-exposed roles are changing more than twice as fast as in less exposed roles (PwC, 2026 Global AI Jobs Barometer, 2026). Torre.ai is relevant because it was founded by Colombian-American entrepreneur Alexander Torrenegra and focuses on AI-driven matching.
Torre.ai is a recruiting and job-matching platform that uses structured candidate profiles, matching, and automated recruiting workflows. For LATAM job seekers, the platform is both a company to watch and a signal for how hiring is changing.
Tech to know: matching systems, search, data modeling, backend engineering, product analytics, AI-assisted recruiting, NLP, profile data, recommendation systems, and marketplace operations.
Best job seeker profile: product engineers, data analysts, growth operators, recruiters with AI fluency, marketplace specialists, and candidates who understand both sides of hiring. This is also a useful place to study how AI evaluates candidate profiles.
Torre.ai is not the same kind of target as IBM or Globant. It is a narrower, startup-style watchlist company. The lesson for candidates is broader: your profile must be machine-readable, outcome-rich, and specific.
What AI Skills Should LATAM Candidates Show First?
In 2026, PwC reported that skills for the most AI-exposed jobs are changing more than twice as fast as for the least exposed jobs (PwC, 2026 Global AI Jobs Barometer, 2026). The winning profile is not "I use ChatGPT." It is "I can use AI to ship, check, improve, and explain work."
For engineers, the highest-signal skills are Python, TypeScript, APIs, SQL, cloud basics, test automation, LLM APIs, vector search, RAG, evals, and observability. For data candidates, add analytics engineering, feature design, experimentation, privacy, model monitoring, and business metrics.
For non-engineers, the path is still real. AI trainers, operations analysts, recruiters, customer success specialists, sales engineers, and domain experts can qualify if they combine strong English with clear writing, domain knowledge, and structured judgment.
How Should You Apply to AI-Related Jobs From LATAM?
In 2026, FlexJobs found only 6% of remote job postings were entry-level, while experienced and manager roles made up most remote openings (FlexJobs, Remote Work Index Q1 2026, 2026). LATAM candidates should apply with proof that reduces hiring risk quickly.
Start with role filters. Search for "LATAM," "Latin America," "Americas," "Brazil," "Mexico," "Colombia," "Argentina," "Chile," "Uruguay," and "remote contractor." If a job says only "Remote - US" or "Remote - Canada," do not waste a tailored application.
Then tailor proof by company type. For Globant, Accenture, and IBM, show enterprise delivery. For Mercado Libre and Nubank, show product metrics and data scale. For Turing, Scale, and Invisible, show assessment readiness, writing quality, and independent execution.
Your AI portfolio should include three artifacts: one shipped AI workflow, one evaluation example, and one business result. The result can be small. A support classifier, RAG demo, fraud-analysis notebook, or sales research agent is better than a vague claim.
Frequently Asked Questions
What is the best AI-first company for LATAM engineers in 2026?
For mid-to-senior engineers, Globant is the best broad starting point because it has LATAM roots, enterprise AI positioning, and more than 30,000 people across 35 countries, according to its careers page. For remote contractor AI work, Turing is often a clearer application path.
Are AI jobs from LATAM mostly senior roles?
Yes, the strongest evidence points that way. In 2026, Near reported that 98% of engineering hires in its LATAM placement data were mid-level or senior, while FlexJobs found only 6% of Q1 remote postings were entry-level. Junior candidates need sharper proof.
Which AI roles can non-engineers apply for?
AI trainer, data annotator, operations analyst, customer success, recruiter, sales engineer, prompt workflow specialist, and domain expert roles can fit non-engineers. Deel reported 70,000+ AI trainers across 600+ organizations in 2026, with work ranging from basic annotation to expert feedback.
What technologies should I learn first for AI jobs?
Start with Python, SQL, APIs, Git, cloud basics, and one LLM application pattern such as RAG or evaluation. PwC found skills in AI-exposed jobs are changing more than twice as fast, so candidates need fundamentals plus a habit of updating their workflow.
Should I take AI training gigs or wait for full-time AI jobs?
AI training gigs can help you build experience, but they can be unstable. Deel reported AI trainer pay from $15 to $75 per hour depending on skill level and project needs. Use gigs to build proof, but keep applying to product, data, and engineering roles.
Conclusion
AI hiring for LATAM talent is real, but it is selective. The best candidates do not pitch themselves as prompt users. They show that they can build, evaluate, automate, and communicate inside real business constraints.
Start with Globant, Accenture, IBM, Mercado Libre, and Nubank if you want stable product or enterprise AI paths. Watch Deel, Turing, Scale AI, Invisible Technologies, and Torre.ai if you want faster exposure to AI-native workflows. Your next step is simple: pick one company category, build proof for that category, and apply where the location field explicitly includes LATAM.
Sources
- FlexJobs, Remote Work Index Q1 2026, retrieved 2026-06-16, https://www.flexjobs.com/blog/post/flexjobs-remote-work-economy-index
- Near, 2026 State of LatAm Hiring Report press release, retrieved 2026-06-16, https://www.einpresswire.com/article/885984925/near-releases-2026-state-of-latam-hiring-report-as-demand-for-software-engineers-surges-250
- Deel, State of Global Hiring Report, retrieved 2026-06-16, https://www.deel.com/global-hiring-report-2026/
- PwC, 2026 Global AI Jobs Barometer, retrieved 2026-06-16, https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html
- Globant, Careers, retrieved 2026-06-16, https://www.globant.com/careers
- Accenture, Job Search and AI/Data careers navigation, retrieved 2026-06-16, https://www.accenture.com/us-en/careers/jobsearch
- IBM, watsonx product page, retrieved 2026-06-16, https://www.ibm.com/watsonx
- Turing, Jobs for AI and remote talent, retrieved 2026-06-16, https://www.turing.com/jobs