Venkatesh Tata
I’m Venkatesh Tata, a detail-oriented transcriber and AI data quality professional with 3+ years of experience supporting speech, language, and multimodal AI projects.
About
I’m Venkatesh Tata, a detail-oriented transcriber and AI data quality professional with 3+ years of experience supporting speech, language, and multimodal AI projects. I convert spoken and written content into clean, structured text while ensuring accurate punctuation, segmentation, timestamps, and (when needed) speaker and turn identification. I’m comfortable working across interview, podcast, and multi-speaker conversational audio, with a strong focus on consistency and guideline compliance.
I also contribute directly to AI training and quality improvement through audio/text annotation, semantic tagging and categorization, RLHF ranking, response rewriting, and supervised fine-tuning support. Alongside this, I bring strong professional command of American English, plus translation experience across Telugu and Hindi, and a track record of meeting high-volume throughput and quality expectations in remote, secure, platform-based workflows.
- 16 years' experience
- Joined September 2026
Skills· 7
Languages
- EnglishFluent
- TeluguFluent
- HindiAdvanced
Industry experience
- Media & Entertainment
- Education
- Professional Services
- Computers & Electronics
- Software & Internet
Work experience· 6 roles
Supported speech and language AI projects involving audio collection, transcription, translation, transcript validation, prompt evaluation, and linguistic quality review in English, Telugu, and Hindi. Produced and validated high-volume spoken-language datasets (single-speaker, continuous utterances, natural conversations, and multi-turn dialogues) while maintaining pronunciation, pacing, clarity, and contextual accuracy. Applied detailed punctuation, formatting, segmentation, and language quality rules; performed speaker/turn separation when required; and corrected omissions, substitutions, repetitions, and formatting inconsistencies against source audio.
Supported speech and language AI projects involving audio collection, transcription, translation, transcript validation, prompt evaluation, and linguistic quality review across English, Telugu, and Hindi. Produced and reviewed high-volume spoken-language datasets (single-speaker speech, interviews, podcasts, natural conversations, and multi-turn dialogues) while maintaining clarity, pacing, and contextual accuracy. Applied project-specific rules for punctuation, formatting, segmentation, and language/cultural quality; distinguished speakers and dialogue turns when required and corrected omissions, substitutions, repetitions, and formatting inconsistencies. Performed audio/text annotation and semantic tagging, including RLHF ranking and response rewriting, and supported tasks such as supervised fine-tuning to improve model quality and safety. Completed multimodal annotation work for video/image datasets, including labeling, tagging, bounding, and quality checks.
Wrote, edited, and proofread web content, business materials, articles, case studies, and marketing copy with strong attention to grammar, clarity, tone, consistency, and factual accuracy. Translated and localized English and Telugu content while preserving meaning, intent, terminology, and natural language flow. Followed client-specific style requirements and formatting instructions across varied subjects and document types.
Education· 6
Certifications and awards
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