Provide evidence-based nutrition expertise for AI training, validate dietary guidance content, and annotate clinical nutrition datasets.
Remote Jobs in Latin America 2026
2562 remote jobs open to candidates in Latin America. Updated daily.
Apply machine learning and AI research expertise to evaluate model outputs, design benchmarks, and improve AI reasoning across technical domains.
Contribute oncology expertise to AI training datasets, validate cancer-related clinical content, and help build accurate medical AI systems.
Provide IP law expertise for AI training covering patents, trademarks, copyright, and trade secrets across technical and creative domains.
Apply epidemiology and public health expertise to AI training datasets covering population health, disease surveillance, and health policy.
Support AI training initiatives with clinical research expertise, protocol review, and structured data collection for healthcare AI tools.
Bring biomedical research expertise to AI training initiatives, annotating molecular biology content and validating life sciences datasets.
Provide environmental science expertise for AI training covering climate, ecology, sustainability, and environmental policy domains.
Provide data science expertise for AI training datasets covering statistics, machine learning applications, and quantitative analysis.
Review and annotate cardiology cases, validate AI-generated clinical summaries, and provide expert feedback to improve medical AI accuracy.
Label and annotate diverse datasets across text, images, and structured data to train and improve AI models at scale. Role details Domain: Technology Experience level: Industry Expert Required expertise: Data Labeling, Quality Assurance, Attention to Detail, Text Classification…
Employment Type: Full-Time Contractor Workplace: Remote Compensation: USD $1,800 - $2,200/month Schedule: Monday to Friday 8:00 am - 5:00 pm EST At HireHawk, we connect top global talent with high-performing U.S. companies.
Azumo is looking for a Business Analyst to lead software development initiatives and personalized development projects. You will collaborate cross-functionally with business and technical teams to ensure the successful delivery of high-quality solutions.
Schedule: Monday – Friday | 9:00 AM – 6:00 PM (PST, CST, EST) Compensation: $1,250 USD/month for the first 90 days / $1,500 USD/month after that. About the Role This is not a sit-back-and-wait sales support role.
Location: Remote (Work from Home) Schedule: Monday – Friday | 9:00 AM – 6:00 PM (PST, CST, EST) Compensation: $1,250 USD/month for the first 90 days / $1,500 USD/month after that.
At TELUS Digital, we help the world’s biggest brands build smarter technology. As a E-commerce Product & Search Relevancy Expert , your mission is to help an AI learn how to suggest the perfect products to online shoppers.
About Silencio Voice AI Silencio Voice AI is a platform that allows individuals to earn by contributing voice data used to train artificial intelligence systems. The focus is on building diverse speech datasets across accents and languages. Role Overview Join as a Voice…
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
We are hiring game data collectors to play video games while our software records your gameplay footage and keyboard/mouse inputs simultaneously. The recordings are used to train AI models that learn from human gameplay demonstrations.
We hire game annotators to label gameplay footage and input data for AI training. You will watch recorded gameplay sessions, identify actions and events, and tag them using our annotation platform.
This is a remote, project-based role for machine learning professionals with deep expertise in computational materials science.