Data Annotation Internship

Pinnacleworks Infotech

GurgaonFresher50m agovia Unstop

About the Role

We're looking for a Language Expert to join our AI Voice Bot team. You'll be the subject-matter authority for your language, ensuring our AI voice assistant sounds natural, culturally accurate, and linguistically correct across conversations. This role goes beyond translation — you'll also work closely with our AI/ML team on prompt engineering and prompting strategies to make sure the bot's responses in your language are contextually sharp and human-like.

Key Responsibilities

  • Annotate, tag, and label large volumes of language datasets (text and audio) used to train and evaluate the AI voice bot
  • Review, correct, and validate annotated data for grammatical, tonal, dialect, and contextual accuracy
  • Identify, flag, and resolve errors, edge cases, and inconsistencies in datasets to maintain high data quality standards
  • Translate and localize bot scripts and conversation flows from English/Hindi into your language (and vice versa)
  • Test, and iterate on AI prompts to improve the bot's responses, tone, and accuracy in your language
  • Conduct quality audits on bot-generated speech/text and feed corrections back into the annotation pipeline
  • Collaborate with product team to identify data gaps and suggest annotation or prompt improvements
  • Train, mentor, and review the work of language interns to ensure consistent annotation quality

Requirements & Tech Stack

  • Native or near-native fluency in the required language, with strong command of English/Hindi
  • Bachelor's degree in Linguistics, Translation Studies, or related field (preferred, not mandatory)
  • Prior experience in data annotation, labeling, translation, localization, or content/quality review
  • Comfortable working with annotation tools, spreadsheets, and structured guidelines
  • Basic understanding of AI/NLP concepts or willingness to learn prompt engineering
  • Good communication skills to collaborate with cross-functional tech teams

Good to Have

  • Prior experience with data annotation or labeling tools/platforms
  • Exposure to prompt engineering or working with LLMs

Languages: Marathi / Gujarati / Tamil / Telugu / Kannada / Bengali / Hindi & English

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