Data Engineer(Speech/Language Data)
Gnani.ai (Gnani Innovations Private Limited) (company site, opens in a new tab)3–6 yrsRemoteDirect career pageEst. 10–22 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end speech and language data management for AI model training across 22+ Indian languages, including sourcing, cleaning, labeling, versioning, cataloguing, and compliance.
- Build and maintain data pipelines for audio processing and text normalization; ensure data quality and annotation accuracy including running quality checks and managing annotation vendors.
- Serve as the single point of contact for AI researchers and engineers for data needs, enforcing data governance, split hygiene, and consent compliance.
Minimum Requirements
- 3-6 years of experience in data engineering, data analysis, or ML data work with real dataset ownership.
- Strong Python skills (pandas or polars), scripting and automation experience at scale, plus familiarity with audio tooling (ffmpeg, sox, librosa/torchaudio).
- Experience in data pipelines, object storage, dataset versioning, train/dev/test split design, and ability to manage annotation quality.
- Work Experience Required: 3-6 years relevant experience as stated; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience working hands-on with speech or audio data — including segmentation, alignment, transcription, or annotation operations.
- Familiarity with Indian languages beyond English, sensitivity to dialects and code-switching is a plus.
- Comfortable owning data governance and compliance in regulated environments, with high ownership in fast-moving AI/ML product settings.