Strategic Project Lead - Physical Engineering

• Translate customer requirements into realistic engineering tasks, data specifications and measurable acceptance criteria. 
• Assess technical requirements, review source files and develop representative samples to establish project feasibility. 
• Shape the physical engineering domain strategy across areas such as CAD, BIM, CAE and electrical engineering. 
• Develop multi-step engineering tasks and reference solutions that reflect real-world technical challenges across models, drawings, calculations and specifications. 
• Lead pilots from sample development and expert onboarding through quality assurance and customer acceptance. 
• Partner with Operations to transition projects into production, maintaining technical standards and ownership of domain quality as delivery scales. 
• Build and qualify a network of specialist engineering contributors and reviewers. 
• Work with Applied Researchers and tooling teams to develop technical verification methods and improve the consistency of engineering evaluations. 
• Provide effort estimates and identify specialist requirements, tooling needs and delivery risks to support commercial proposals. 
• Turn successful projects into reusable engineering samples, task libraries and delivery methods. 

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 has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.