Strategic Project Lead
Appen
Strategic Project Lead
Appen
Provides human-annotated data for AI training
Appen’s Strategic Project Leads turn complex technical requirements into high-quality data and evaluation resources that help advance AI models.
As the Strategic Project Lead for Physical Engineering, you will bring deep engineering knowledge to projects involving the physical world and built environment. You will help translate real-world engineering work into structured tasks, expert-reviewed data and evaluations that support AI training and model assessment.
You will bring depth in at least one physical engineering discipline, such as mechanical, electrical, civil or structural engineering, while working with specialists across other areas as needed. You will partner with customers, Applied Researchers, Operations and technical experts to shape project requirements, establish quality standards and deliver technically credible results.
This is a hands-on technical leadership role. You will lead through subject matter expertise and influence, rather than direct people management.
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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