
Data Annotation Internship
Pinnacleworks Infotech
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


