Multilingual Data Annotation Internship

Skills this role screens for

The company

About the Company

Pinnacleworks Infotech is offering a three-month opportunity for language-focused interns to contribute to AI voice bot development. Interns will work with Marathi, Gujarati, Tamil, Telugu, Kannada, or Bengali datasets and help improve the quality, naturalness, and accuracy of multilingual AI experiences.

The work

Responsibilities

• Annotate, tag, and label large volumes of text and audio datasets used to train and evaluate AI voice bots.
• Review, correct, and validate annotations for grammatical, tonal, dialect, and contextual accuracy.
• Identify, flag, and resolve errors, edge cases, and inconsistencies to maintain high data quality.
• Translate and localize bot scripts and conversation flows between English or Hindi and the required language.
• Test and iterate on AI prompts to improve responses, tone, and accuracy in the relevant language.
• Conduct quality audits on bot-generated speech and text, then feed corrections into the annotation pipeline.
• Collaborate with the product team to identify data gaps and recommend annotation or prompt improvements.
• Train, mentor, and review the work of language interns to support consistent annotation quality.

Who they want

Requirements

Good-to-have experience includes working with data annotation or labeling platforms, prompt engineering, or large language models. This is a paid, full-time, in-office internship in Gurgaon with a fixed monthly stipend of ₹12,000 and performance-based bonus potential of ₹3,000. The internship follows a five-day work week from Monday to Friday. High-performing interns may be considered for a Pre-Placement Opportunity based on internship performance.

• Native or near-native fluency in Marathi, Gujarati, Tamil, Telugu, Kannada, or Bengali, along with a strong command of English or Hindi.
• A bachelor's degree in Linguistics, Translation Studies, or a related field is preferred but not mandatory.
• Prior experience in data annotation, labeling, translation, localization, or content and quality review is beneficial.
• Comfort working with annotation tools, spreadsheets, and structured guidelines.
• Basic understanding of AI or NLP concepts, or willingness to learn prompt engineering.
• Good communication skills for collaboration with cross-functional technology teams.