Audio Engineer

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🕒 4 days ago

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Own the end-to-end audio signal chain and post-processing pipeline for all collection programs. • Define and document technical specifications: sample rates, bit depth, formats, loudness (LUFS) targets, noise floors, channel configurations. • Design and maintain the “Innodata sound signature” — a consistent, spec-compliant acoustic profile across studio, remote, real-world, and telephonic captures. • Build technical QA: automated and manual checks that validate audio against spec before delivery. • Specify and validate recording setups for vendors and remote contributors (signal-chain testing in a small in-house studio). • Partner with the Solutions Architect to translate customer acoustic requirements into achievable technical recipes. • Drive tooling: help select and configure recording/QA/processing tools; automate where possible. • Troubleshoot acoustic and signal issues across diverse capture environments.

🎯 Requirements

• Strong audio engineering background: signal chain, recording, post-processing, mastering, and acoustic QA. • Deep fluency in audio technical specs (sample rate, bit depth, LUFS, formats, codecs) and the ability to define and enforce them. • Experience producing consistent audio quality across varied recording conditions and locations. • Comfort with audio tooling and automation (scripting for batch processing/QA is a strong plus). • Precision and process orientation — you care about consistency at scale, not just one great recording. • Experience with speech/voice data for AI/ML (TTS or ASR datasets). • Familiarity with multilingual recording and remote/distributed capture. • Knowledge of speech quality metrics and how acoustic choices affect downstream model performance. • Scripting (Python) for audio processing pipelines (e.g., ffmpeg, sox, pydub, librosa).