Strategic Project Lead - Speech & Audio AI

New
J
JobgetherSpeech and audio AI
Based in the United StatesFull-TimeLead
Salary not disclosed
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Job Details

Experience
At least 1–2 years of experience in AI data operations, project coordination, project delivery, or a related field
Required Skills
Project ManagementQuality Assurance

Requirements

  • Have at least 1–2 years of experience in AI data operations, project coordination, project delivery, or a related field.
  • Have practical familiarity with at least one speech, audio, language data, or conversational AI workflow.
  • Have experience coordinating projects or workstreams and managing competing priorities.
  • Understand data annotation processes and quality assurance methods for AI training and evaluation datasets.
  • Be able to translate client needs into actionable guidelines, operational workflows, evaluation criteria, and measurable quality expectations.
  • Bring critical thinking, attention to detail, and the ability to investigate issues and resolve ambiguities.
  • Be able to manage multiple projects and deadlines while maintaining quality and accountability.
  • Preferred: familiarity with automatic speech recognition, transcription, speaker diarization, acoustic annotation, or text-to-speech evaluation.
  • Preferred: experience with voice-agent scripts, interactive voice response, dialogue design, conversational evaluation, or turn-taking analysis.
  • Preferred: experience with localization, cross-language consistency, CJK languages, or low-resource languages.

Responsibilities

  • Manage project scope, timelines, budgets, staffing, resource allocation, and risks for speech and audio AI programs.
  • Serve as a primary client contact for communications, status updates, workshops, reviews, and escalations.
  • Translate client objectives into annotation guidelines, project processes, tooling requirements, and quality standards.
  • Define, track, and analyze quality metrics, including transcription accuracy, word error rate, speaker diarization, and linguistic consistency.
  • Investigate data quality issues, clarify ambiguous requirements, and implement corrective actions.
  • Advise clients and internal teams on workflow feasibility, evaluation methods, tooling options, and speech and audio best practices.
  • Create and maintain guidelines, standard operating procedures, quality assurance frameworks, and documentation.
  • Share domain knowledge and mentor Operations Specialists.
  • Support project scoping, pilot programs, and new service development.
  • Identify opportunities to refine processes, strengthen quality controls, and adapt delivery approaches.
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