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Discover companies hiring across Latin America
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Discover companies hiring across Latin America
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Volga Partners is a technology services company based in Kirkland, Washington, specializing in Artificial Intelligence, Machine Learning, software development, testing, product localization, and customer support. With a team of over 1,000 professionals operating in more than 100 countries, Volga Partners delivers a wide range of technology solutions tailored to meet diverse business needs. The company excels in managing large-scale AI and ML projects, focusing on high-quality training data and data annotation. In addition to software development and IT services, Volga offers business process outsourcing, quality assurance, and customer support. Their service delivery model includes onsite, onshore, and offshore solutions, allowing clients to enhance their internal teams while optimizing costs and processes. Volga Partners is recognized for its commitment to quality and diversity, holding several certifications, including WBENC, WOSB, NMSDC, ISO 27001, and ISO 42001. The company employs between 250-499 people and has reported revenue of $16.3 million.
Appen is a global leader in providing high-quality, human-annotated datasets for machine learning and artificial intelligence. Founded in 1996 in Australia by Dr. Julie Vonwiller and Chris Vonwiller, the company has over 25 years of experience in AI training data. Appen serves major technology companies and governments, helping to enhance AI interactions across various applications. The company specializes in collecting, annotating, and labeling vast datasets, including images, text, speech, audio, and video. Appen utilizes a global crowd of over 1 million contributors to efficiently support tasks like tagging and evaluation. Its solutions include crowd-sourced data annotation and expertise-driven services, which are essential for training AI models in search relevance, generative AI, and machine learning. Appen has a strong presence in the market, serving eight of the top ten global technology companies and various government entities.
Chemin AI is an AI-enablement company based in Singapore, founded in 2025. The company specializes in providing end-to-end services across the AI lifecycle, including data preparation, model development, and deployment. With a team of over 50 specialists, Chemin operates in 18 countries and has successfully delivered over 12,000 projects, processing more than 100 million data points. Chemin offers a wide range of AI solutions, focusing on scalable and ethical AI development. Their services include data curation and annotation, custom model development, and integration of AI systems. They also provide tailored proofs of concept to help clients align their goals with AI capabilities. The company serves various industries, including art, healthcare, design, and transportation, with specialized frameworks for each sector. Chemin AI emphasizes collaboration and responsible AI practices, blending human insight with machine intelligence.
Scale AI is a data infrastructure company that specializes in providing high-quality training data and technologies for AI model development and deployment. Founded in 2016 by Alexandr Wang and Lucy Guo, Scale AI has grown from a data annotation startup into a comprehensive 'data foundry' that serves enterprises, governments, and AI labs across various industries. The company offers a range of services, including human-powered data labeling and annotation, Reinforced Learning with Human Feedback (RLHF) technology, and end-to-end machine learning lifecycle management solutions. Scale AI also develops specialized AI agents and provides full-stack data and technology solutions for building and overseeing AI applications. With a focus on delivering correctly labeled datasets, Scale AI aims to enhance the effectiveness of machine learning models. Scale AI has established partnerships with leading organizations such as Meta, Microsoft, and OpenAI, and has achieved significant financial milestones, including projected revenues of $2 billion in 2025 and a valuation exceeding $29 billion.