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Lighthouse 3 Project Vacancy 2026 – Hindi (Hinglish) Text Annotation Work From Home

Lighthouse 3 Project Vacancy 2026

Lighthouse 3 Project Vacancy 2026

Lighthouse 3 Project Vacancy 2026: Lighthouse 3 is a large-scale text data annotation project offering an exciting remote opportunity for native Hindi speakers who write Hindi using English letters (Hinglish). The project focuses on annotating and labeling native-language text to support the development and improvement of advanced AI and language models.

As part of Lighthouse 3, selected contributors will work on tasks such as identifying themes, sentiments, categories, and other linguistic features within Hindi (Latin script) text. All annotations must be completed strictly according to client-provided guidelines, with a strong emphasis on accuracy, consistency, and attention to detail. Contributors are also expected to perform self-quality checks and share feedback to help improve annotation workflows and processes.

This project offers 400 openings and is a work-from-home, in-country opportunity, making it ideal for freelancers, students, and individuals looking for flexible remote work. Participants are required to commit 20–30 hours per week, allowing them to manage their schedules while gaining valuable experience in language data annotation.

Project NameLighthouse 3 Project
Openings400
Language(Hindi – India for English Letters)
Work TypeWork from Home

Main Requirements (Lighthouse 3 Project Vacancy 2026)

Other Requirements

Important

About the Job

We are looking for detail-oriented native Hindi (Latin script) speakers to join Lighthouse 3, a large-scale text data annotation project. This project involves annotating and labeling native-language text written in Hindi using the English Letters (commonly known as Hinglish), based on detailed, client-provided guidelines.

Tasks may include identifying themes, sentiments, categories, and other linguistic features within text data. You will be responsible for following precise annotation instructions, performing self-checks to ensure accuracy, and providing feedback to support continuous process improvement.

This is a remote, in-country opportunity with a weekly commitment of 20–30 hours.

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