Strategic Project Lead - Speech & Audio AI
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AppenAI training data
Remote, LondonFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Bilingual or multilingual capabilities, particularly German or a Nordic language.
- Experience
- 1–2+ years of experience in AI data operations, project coordination, or delivery
- Required Skills
- Project CoordinationQuality Assurance
Requirements
- Have 1–2+ years of experience in AI data operations, project coordination, or delivery; experience in a GenAI or frontier AI environment is ideal.
- Have hands-on familiarity with at least one speech, audio, language, or conversational AI workflow.
- Have experience coordinating projects or workstreams, managing stakeholders, and communicating with clients.
- Understand data quality, annotation workflows, and quality assurance methods.
- Be able to turn client requirements into clear guidelines, workflows, and quality standards.
- Demonstrate problem-solving skills and the ability to manage multiple priorities in a fast-moving environment.
- Have an interest in current AI developments, including speech, audio, and voice-agent technologies.
- Experience with ASR transcription, speaker diarization, acoustic annotation, or TTS evaluation is a plus.
- Familiarity with voice-agent scripts, IVR, dialogue design, turn-taking, or conversational evaluation is a plus.
- Experience with localization, cross-locale consistency, CJK languages, or low-resource languages is a plus.
- Bilingual or multilingual capabilities, particularly German or a Nordic language, are a plus.
Responsibilities
- 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.
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