{"html":"<p><strong>Overview</strong>\nWe&#39;re looking for audio engineers with strong experience editing and quality-checking <strong>voice recordings for speech and text-to-speech (TTS) applications</strong>, specifically for <strong>Brazilian Portuguese-language audio</strong>. 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. <strong>Native or near-native Brazilian Portuguese fluency is required</strong> to accurately assess speech quality, pronunciation, and naturalness.</p> <h3><strong>What You&#39;ll Do</strong></h3>\n<ul>\n<li><p>Edit and process <strong>Brazilian Portuguese voice recordings</strong> for use in TTS and speech AI systems</p>\n</li>\n<li><p>Perform <strong>audio cleanup</strong> including silence trimming, breath reduction/removal, de-clicking, de-essing, and noise reduction</p>\n</li>\n<li><p>Conduct detailed <strong>quality assurance checks</strong> for:</p>\n<ul>\n<li><p>Clipping and distortion</p>\n</li>\n<li><p>Background noise and artifacts</p>\n</li>\n<li><p>Loudness consistency and level balancing</p>\n</li>\n</ul>\n</li>\n<li><p>Ensure audio meets <strong>strict technical specifications</strong> for ML training pipelines</p>\n</li>\n<li><p>Evaluate recordings for <strong>Brazilian Portuguese pronunciation accuracy, naturalness, and fluency</strong></p>\n</li>\n<li><p>Work with large batches of recordings, maintaining <strong>consistency and throughput</strong></p>\n</li>\n<li><p>Collaborate with teams working on <strong>Brazilian Portuguese speech datasets, voice talent recordings, and model training workflows</strong></p>\n</li>\n</ul> <h3><strong>Basic Qualifications</strong></h3>\n<ul>\n<li><p><strong>Native or near-native Brazilian Portuguese speaker</strong> with strong listening intuition for Brazilian Portuguese speech nuances</p>\n</li>\n<li><p>Experience editing <strong>speech or voice recordings</strong> (not just music production)</p>\n</li>\n<li><p>Strong understanding of <strong>speech audio quality standards</strong> and common issues in recorded dialogue</p>\n</li>\n<li><p>Hands-on experience with tools like <strong>iZotope RX, Pro Tools, or similar audio restoration software</strong></p>\n</li>\n<li><p>Ability to identify and fix <strong>artifacts, inconsistencies, and technical defects</strong> in audio</p>\n</li>\n<li><p>Experience working with <strong>high-volume audio datasets or structured workflows</strong></p>\n</li>\n</ul> <h3><strong>Preferred Qualifications</strong></h3>\n<ul>\n<li><p>Experience working with <strong>TTS vendors or platforms</strong></p>\n</li>\n<li><p>Prior involvement in <strong>speech ML, voice AI, or dataset creation/annotation workflows</strong></p>\n</li>\n<li><p>Familiarity with <strong>audio QA pipelines, labeling, or evaluation processes</strong></p>\n</li>\n<li><p>Experience directing or editing <strong>Brazilian Portuguese voice talent recordings</strong></p>\n</li>\n</ul> <h3><strong>Ideal Candidate Profile</strong></h3>\n<ul>\n<li><p>Detail-oriented with strong <strong>critical listening skills in Brazilian Portuguese</strong></p>\n</li>\n<li><p>Comfortable working with <strong>repetitive, high-precision tasks at scale</strong></p>\n</li>\n<li><p>Able to balance <strong>speed and quality</strong> in production environments</p>\n</li>\n<li><p>Familiar with the nuances of <strong>human Brazilian Portuguese speech vs synthetic voice requirements</strong></p>\n</li>\n</ul>"}