Apply blockchain and decentralized technology expertise to AI training covering smart contracts, DeFi protocols, and distributed ledger systems.
Remote Technology (AI) Jobs in Uruguay 2026
288 remote jobs open to candidates in Uruguay in Technology (AI). Updated daily.
Provide cloud infrastructure and architecture expertise for AI training covering AWS, GCP, Azure, and distributed systems design.
Provide natural language processing expertise for AI evaluation, benchmark design, and training data quality across diverse language tasks.
Provide cybersecurity expertise for AI training, validate threat modeling content, and help build accurate security-domain AI knowledge bases.
Apply software engineering expertise to evaluate AI-generated code, validate technical content, and help build high-quality engineering training datasets.
Apply machine learning and AI research expertise to evaluate model outputs, design benchmarks, and improve AI reasoning across technical domains.
Provide data science expertise for AI training datasets covering statistics, machine learning applications, and quantitative analysis.
Java Coding Specialist - Freelance AI Trainer Project United States of America Are you a Java expert who can spot a flawed abstraction from across a codebase? Large-scale language models are evolving from clever chatbots into engines of real scientific and engineering progress.
AfterQuery is seeking Swift/iOS Developer Experts to create and refine mobile development challenges for training AI models.
Are you an AI QA expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into enterprise-grade platforms.
Are you a coding expert fluent in Chinese eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
AfterQuery is seeking College Software Engineer Experts to create and refine software development challenges for training AI models.
Fleet AI is an applied artificial intelligence company focused on human–AI collaboration at scale. Our goal is to accelerate the transition to the allocation economy—a future where humans direct work rather than perform it.
Fleet AI is an applied artificial intelligence company focused on human–AI collaboration at scale. Our goal is to accelerate the transition to the allocation economy—a future where humans direct work rather than perform it.
We are seeking exceptional competitive programmers (top 1% LeetCode users, ICPC Nationals, Codeforces Master, USACO Gold) to join our research project in collaboration with a leading AI lab. This is a flexible remote position requiring 10-20 hours of work per week.
Are you a software engineer with deep infrastructure expertise and a systems-level mindset eager to shape the future of AI?
Are you a Java-focused software engineer with strong infrastructure and systems expertise eager to help shape how AI understands large-scale software systems?
Are you a coding expert fluent in Bengali eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
Are you a coding expert fluent in Italian eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
Are you a coding expert fluent in Swedish eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
Are you a coding expert fluent in Dutch eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
Are you a coding expert fluent in German eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
Are you a coding expert fluent in Japanese eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery.
This is a remote, project-based role for data engineering professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data engineering, data infrastructure, ETL development, or analytics engineering roles.