You will help build high-quality datasets that train and evaluate AI models on Indian-language content. This means reviewing, labelling, categorizing and validating data across text, audio, images and video, ensuring accuracy, consistency and cultural relevance.

This is a hands-on role for someone who is fluent in their assigned Indian language, has a strong eye for detail and is comfortable working with structured data and digital tools. You will work with project guidelines, review AI-generated outputs and help improve the quality of datasets used in AI development.

What You'll Work On

You will contribute to one or more of the following areas, depending on your language proficiency and project requirements:

Text annotation: Label, categories and validate text data in assigned Indian languages.

Audio and speech annotation: Transcribe, segment and review audio content, ensuring linguistic accuracy.

Image and video annotation: Tag, label and categories visual content based on project guidelines.

AI output evaluation: Review AI-generated content for accuracy, grammar, language quality and cultural relevance.

Regional language data: Work with Indian-language content, including regional expressions, everyday language, music and media.

Data quality: Identify incorrect, unclear, sensitive or out-of-scope content and maintain annotation quality standards.

Key Responsibilities

- Label, tag and categories text, audio, image and video data according to project guidelines.
- Review AI-generated outputs for accuracy, language quality, grammar and cultural relevance.
- Transcribe, segment or structure content in the assigned language wherever required.
- Identify and flag unclear, incorrect, sensitive or out-of-scope data.
- Meet daily productivity targets while maintaining accuracy at or above project benchmarks.
- Review QA feedback and correct rejected annotations within the given timelines.
- Learn new annotation tools, platforms and project guidelines as requirements evolve.
- Maintain confidentiality of project data and follow data security policies.





Must Have

- Any graduate degree (BA, BSc, BCom, BCA, BE/BTech or equivalent). AI-related educational background or knowledge will be an added advantage.
- Native or near-native fluency in the assigned language, including reading, writing and listening skills in the respective script.
- Valuable working knowledge of English to understand project guidelines and communicate through written notes.
- Strong attention to detail and consistency when handling repetitive tasks.
- Understanding of regional culture, media, music and everyday language usage.
- Basic computer skills, including web-based tools, Google Sheets or Excel, and typing in the regional script.
- Ability to work independently and meet daily productivity targets.
- 0–4 years of experience. Freshers with strong language and computer skills are welcome.

Nice to Have

- Experience in data annotation, data labelling, transcription, translation, subtitling, content writing, proofreading or content moderation.
- Graduates in languages, literature, linguistics, mass communication or journalism.
- Familiarity with AI tools or annotation platforms.
- Interest in music, films and regional media.
- Knowledge of more than one Indian language.
- Final-year students who are available to work full time may also be considered.

Openings by Language

Position Openings: Data Annotator

Malayalam: 1

Hindi: 2

Punjabi: 1

Telugu and Kannada: 1

Language Requirement: Malayalam, Hindi, Punjabi, Telugu

Script Requirements: Add-on

- Tamil + Malayalam: Tamil and Malayalam
- Hindi: Devanagari
- Hindi + Punjabi: Devanagari and Gurmukhi
- Telugu: Telugu
- For dual-language roles, candidates must be assessed in both languages.

Work Conditions and Selection Process
- This is a work-from-office role.
- Daily output targets will be set based on project requirements.
- Annotation accuracy will be monitored through regular quality assurance (QA) reviews.
- Projects may change across different data types, including audio, text, images and video, so flexibility is expected.
- Candidates must sign a confidentiality or NDA agreement before starting.

📌 Data Annotator (Multilingual) (Chennai)
🏢 Eros Innovation
📍 Chennai