Remote Ghar provides a managed platform that connects enterprises with a vetted remote workforce for AI data tasks such as collection, annotation, transcription, and localization. The system enforces skill‑based qualification, role‑based access, and automated workflow lanes to ensure secure, compliant, and high‑quality data production at scale.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises building AI models often struggle to obtain high‑quality, production‑ready data at scale because traditional hiring processes are slow, lack skill‑based validation, and provide limited oversight of data handling and contributor performance.
Solution
Remote Ghar offers a managed remote workforce platform that connects enterprises with a qualified pool of contributors for data collection, annotation, transcription, localization, and quality assurance tasks. The platform enforces skill‑based qualification tests and role‑based access controls, ensuring that only vetted contributors can work on sensitive data. Built‑in workflow lanes provide automated submission, review, and approval steps, while audit trails and consent management maintain compliance and traceability. Enterprises can monitor task status, review quality scores, and approve payouts through a unified ATS dashboard, enabling rapid scaling of AI data pipelines without sacrificing security or quality. Contributors receive clear assignment details, feedback, and secure payouts, creating a transparent, performance‑driven ecosystem for real AI production.
Target Audience
Primary customers are AI product teams, data engineering groups, and HR/operations units at enterprises that require large‑scale, high‑quality training data. The platform also serves freelancers and remote workers seeking paid, skill‑based AI data tasks.
Features
- Skill‑based qualification gating to certify contributors before task assignment
- Role‑based access control and audit logs for data isolation and compliance
- End‑to‑end workflow with submission, QA review lanes, and approval tracking
- Integrated payout management with transparent status updates for paid tasks
- Production‑ready data services covering collection, annotation, transcription, localization, and MTPE
- Scalable onboarding and assignment system supporting large‑volume AI projects
- Secure storage and encrypted protocols to protect contributor data and submissions