Audio AI Specialist (Speech Data, QA & Annotation)

About the Role

HireArt is recruiting an Audio AI Specialist to support the development of high-quality speech datasets for next-generation voice AI systems.

This role focuses on audio quality, annotation, and dataset validation — ensuring speech data is accurate, consistent, and usable for AI model training.

What You’ll Do

• Develop and apply audio quality standards for speech datasets
• Review and evaluate audio files for:
• Noise, distortion, clipping, echo, and recording issues
• Identify and flag:
• Segmentation errors
• Transcript mismatches
• Speaker labeling inconsistencies
• Perform annotation tasks:
• Transcription
• Timestamp validation
• VAD (voice activity detection)
• Diarization (speaker separation)
• Record high-quality speech from scripts
• Maintain consistency across audio, transcripts, and metadata
• Document edge cases and improve quality guidelines
• Collaborate with ML and research teams

Requirements

• Experience with audio AI datasets or speech workflows
• Hands-on experience with:
• ASR (speech recognition)
• TTS (text-to-speech)
• Speech-to-speech systems
• Strong ability to detect subtle audio quality issues
• Experience with:
• Transcription
• Segmentation / VAD
• Diarization
• Ability to produce clean recordings in a controlled environment
• Strong written communication skills
• High attention to detail

Bonus Skills

• Tools: Audacity, Praat, or similar
• Basic scripting (Python, SQL, Bash)
• Background in linguistics, phonetics, or voice work
• Experience with synthetic + real audio evaluation
• Multilingual or accent/dialect familiarity

Compensation

• $25/hour
• Ongoing contract

Role Details

• Remote (U.S. only, excluding CA & IL)
• Contract-based (long-term potential)

Why Join

• Work on cutting-edge voice AI systems
• Gain hands-on experience in speech datasets and model training
• Collaborate with AI researchers and engineers
• Build specialized skills in a fast-growing AI domain

About the Company

HireArt partners with leading companies to recruit talent for high-impact roles in AI, engineering, and data operations.