
501 - 1000 employees
Founded 1996
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.
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501 - 1000 employees
Founded 1996
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.
• Lead complex medical AI data programs from solution design through delivery • Own the quality and direction of complex healthcare AI programs • Translate customer objectives into medical data strategies • Establish standards for how healthcare data is designed, evaluated, and delivered • Turn standards into repeatable approaches, methodologies, and capabilities across Appen's global delivery organization • Bridge customer objectives, clinical expertise, and Appen's global delivery capability • Support strong customer outcomes and expand Appen's healthcare data capability across its portfolio
• Experience managing clinicians, researchers, or other specialist professional communities • Familiarity with healthcare data privacy, security, and responsible AI governance • Experience developing or reviewing medical datasets, annotation guidelines, clinical taxonomies, or evaluation criteria • Exposure to AI companies, frontier AI labs, or healthcare technology organizations
• Flexible work arrangements • Tools and resources to support delivery • Development opportunities to build capability • Work on complex AI challenges across industries and geographies • Collaborative culture with talented colleagues
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