Strategic Project Lead
Appen
Strategic Project Lead
Appen
Provides human-annotated data for AI training
The Strategic Project Lead – Speech & Audio will sit in Appen's Operations organization and support the development of frontier AI through high-quality data programs for leading AI companies. We’re looking for someone with experience in speech, audio, or language data to own complex projects from planning through delivery.
You’ll combine project management, domain expertise, and quality ownership to help clients build and improve speech recognition systems, voice agents, and other AI applications. You’ll work closely with clients and internal teams to solve problems, refine workflows, and keep pace with a rapidly evolving AI landscape.
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.
You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.
Appen creates and curates large datasets used to train and improve artificial intelligence. It relies on a global, crowdsourced workforce to produce human-annotated data across text, images, audio, and video, which powers AI systems such as search engines and social feeds. Its products include data annotation services and platforms (like Figure Eight) and specialized data like mobile location data (Quadrant) to support ML pipelines. The company differentiates itself through scale, a broad range of data types, and a history of strategic acquisitions that expand its capabilities (e.g., Leapforce for search relevance, Figure Eight for annotation tooling, Quadrant for location data), enabling end-to-end data supply for enterprise AI. Its goal is to help organizations build reliable AI by providing high-quality labeled data and to capitalize on opportunities in generative and enterprise AI while returning to profitability under new leadership.
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