Audio Solutions Architect

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InnoData

SiteLinkedInTodas as Vagas

2 - 10 funcionários

Fundada em 2019

🤝 B2B

💼 Consultoria

🌍 Impacto Social

B2B • Consulting • Social Impact

InnoData é uma cooperativa social italiana denominada INNOvation DATA SCS, com sede em Foggia, que se identifica como fornecedora de soluções tecnológicas. O site da empresa (atualmente em manutenção) destaca "Soluzioni tecnologiche" (soluções tecnológicas) e enfatiza o impacto social ("Impatto sociale"). Os dados de contato listados incluem Via Francesco Crispi 65, 71121 Foggia, Itália. Com base nas informações disponíveis, a InnoData parece operar na interseção entre tecnologia e impacto social, provavelmente oferecendo serviços focados em tecnologia para outras organizações.

Descrição

• Partner with customers in presales to understand their model objectives, current data gaps, and technical constraints. • Shape requirements: define acoustic specs, language/accent coverage, speaker demographics, emotional/paralinguistic range, transcript and metadata schema, and QA targets (WER/DER, LUFS, etc.). • Translate requirements into scoped execution plans — volumes, timelines, methodology, pricing inputs — in partnership with delivery. • Serve as the credible technical voice in the room: explain tradeoffs (studio vs. real-world vs. telephonic, scripted vs. spontaneous, single vs. multi-speaker) and defend methodology choices. • Build reusable solutioning assets: scoping frameworks, spec templates, reference architectures for common audio data use cases. • Stay at the tip of the spear on speech-AI developments (TTS, ASR, speech-to-speech) and what data the next generation of models will need. • Produce go-to-market material: technical blog posts, white papers, benchmark reports, and reference content that demonstrates Innodata's depth. • Represent Innodata externally: speak at and work conferences (Interspeech, ICASSP, industry events), engage the speech-AI community, and build our public technical profile. • Feed market intelligence back into strategy — advise on emerging data categories and where to invest ahead of demand.

🎯 Requisitos

• Deep working knowledge of speech/audio AI: how TTS, ASR, and speech-to-speech systems are trained and evaluated, and what data they require. • Experience in a solutions engineering, solutions architect, technical presales, or applied/forward-deployed role — or a technical audio/speech background plus strong commercial instincts. • Demonstrated ability (and appetite) to produce public-facing technical content and represent a company externally — writing, speaking, or community engagement. • Ability to shape ambiguous requirements into precise specs and communicate them to both researchers and business stakeholders. • Strong presence and persuasion; comfortable being the technical authority in a sales conversation and on a conference stage. • Familiarity with audio technical specifications (sample rates, LUFS, formats), transcript/metadata schemas, and quality metrics (WER, DER). • A public body of work in speech/audio: talks, papers, blog posts, benchmarks. • Hands-on experience with speech datasets, annotation, or audio production. • Background working with or at a frontier AI lab or voice-AI product company. • Multilingual / localization exposure.