Sept 2026 - Top 5 well paying Remote work Gigs for Indians
Software Engineer, Full Stack — India
New opportunity
$25-$30
Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Full-Stack Software Engineers with hands-on production experience across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early.
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Mercor is hiring native Hindi speakers to help capture and evaluate real, natural voice interactions with a next-generation AI assistant, in partnership with a leading AI lab.
You will use a specialized version of the app on your own Mac to complete everyday tasks by voice, then log and rate the AI's responses in your bilingual language.
Key Responsibilities
Use your voice to compose messages, emails, and notes across everyday apps
Direct the AI to take actions such as generating images, formatting text, applying spreadsheet formulas, or summarizing documents
Record accurate transcripts of your spoken queries, and produce a cleaned-up transcript
Rate the AI's responses
Log all task data in a structured tracking sheet and upload supporting recordings to a shared drive
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Fluent Language Skills Required: Telugu. Native fluency in Telugu, including full command of Telugu script and orthography, is required for this position. All annotation and transcription work is performed in Telugu.
Why This Role Exists
Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Telugu, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.
The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Telugu documents rather than a narrow band of easily parsed ones.
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Fluent Language Skills Required: Malayalam. Native fluency in Malayalam, including full command of Malayalam script and orthography, is required for this position. All annotation and transcription work is performed in Malayalam.
Why This Role Exists
Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Malayalam, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.
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