Audio Engineer (Speech / TTS Audio Specialist) – Brazilian Portuguese

HumanitApp; Brasil; À distance; BRL 139 000 - 209 000; Plein temps

Résumé du poste

HumanitApp is seeking an audio engineer to edit and quality-check Brazilian Portuguese recordings for TTS and speech AI. You will prepare high-quality audio datasets, ensuring clarity, consistency, and technical compliance across large volumes.

Responsibilities include audio cleanup, QA, and collaboration with teams across datasets, talent recordings, and model training. Native or near-native Portuguese fluency is required for accurate evaluation.

Qualifications

• Native or near-native Brazilian Portuguese speaker with strong listening intuition.
• Experience editing speech recordings (not music).
• Knowledge of speech quality standards and artifacts.
• Experience with high-volume datasets or structured workflows.

Responsabilités

• Edit and process Brazilian Portuguese voice recordings for TTS and speech AI.
• Perform audio cleanup including silence trimming, breath reduction, de-clicking, de-essing, and noise reduction.
• Conduct QA checks for clipping, distortion, background noise, and loudness balance.
• Ensure audio meets technical specs for ML training pipelines.
• Evaluate pronunciation accuracy, naturalness, and fluency.
• Collaborate with teams on datasets, talent recordings, and model training workflows.

Connaissances

Portuguese fluency

Audio editing

Quality checks

High-volume workflows

Outils

iZotope RX

Pro Tools

Description du poste

Overview We're looking for audio engineers with strong experience editing and quality-checking voice recordings for speech and text-to-speech (TTS) applications, specifically for Brazilian Portuguese-language audio. This role focuses on preparing high-quality audio datasets for machine learning systems, ensuring clarity, consistency, and technical compliance across large volumes of Brazilian Portuguese speech data. Native or near-native Brazilian Portuguese fluency is required to accurately assess speech quality, pronunciation, and naturalness.

What You'll Do

• Edit and process Brazilian Portuguese voice recordings for use in TTS and speech AI systems
• Perform audio cleanup including silence trimming, breath reduction/removal, de-clicking, de-essing, and noise reduction
• Conduct detailed quality assurance checks for:
  • Clipping and distortion
  • Background noise and artifacts
  • Loudness consistency and level balancing
• Ensure audio meets strict technical specifications for ML training pipelines
• Evaluate recordings for Brazilian Portuguese pronunciation accuracy, naturalness, and fluency
• Work with large batches of recordings, maintaining consistency and throughput
• Collaborate with teams working on Brazilian Portuguese speech datasets, voice talent recordings, and model training workflows

Basic Qualifications

• Native or near-native Brazilian Portuguese speaker with strong listening intuition for Brazilian Portuguese speech nuances
• Experience editing speech or voice recordings (not just music production)
• Strong understanding of speech audio quality standards and common issues in recorded dialogue
• Hands-on experience with tools like iZotope RX, Pro Tools, or similar audio restoration software
• Ability to identify and fix artifacts, inconsistencies, and technical defects in audio
• Experience working with high-volume audio datasets or structured workflows

Preferred Qualifications

• Experience working with TTS vendors or platforms
• Prior involvement in speech ML, voice AI, or dataset creation/annotation workflows
• Familiarity with audio QA pipelines, labeling, or evaluation processes
• Experience directing or editing Brazilian Portuguese voice talent recordings

Ideal Candidate Profile

• Detail-oriented with strong critical listening skills in Brazilian Portuguese
• Comfortable working with repetitive, high-precision tasks at scale
• Able to balance speed and quality in production environments
• Familiar with the nuances of human Brazilian Portuguese speech vs synthetic voice requirements

AI evaluation Machine learning

Compensation context

The listing states $20 - $30 / hour. Confirm the final rate, workload, and payment terms during the official application process.