Strategic Project Lead - Speech & Audio AI (London)

• Own end-to-end delivery across project scope, timelines, budgets, staffing, and risks.
• Manage client communication, status updates, workshops, and escalations.
• Translate client requirements into annotation guidelines, workflows, tooling, and quality standards.
• Define and monitor quality metrics, including transcription accuracy, word error rate (WER), diarization, and linguistic consistency.
• Troubleshoot quality issues and resolve ambiguous requirements with clients.
• Provide domain expertise across speech and audio workflows, advising on feasibility, evaluation methods, and tooling.
• Build reusable guidelines, SOPs, and QA frameworks while mentoring Operations Specialists.
• Support new project scoping, pilots, and capability development as speech and voice AI evolves. 

• Experience with ASR transcription, speaker diarization, acoustic annotation, or TTS evaluation.
• Familiarity with voice-agent scripts, IVR, dialogue design, turn-taking, or conversational evaluation.
• Experience with localization, cross-locale consistency, CJK languages, or low-resource languages.
• Bilingual or multilingual capabilities, particularly German or a Nordic language. 

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.