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Sourcebae

AI workforce infrastructure platform connecting domain experts with AI labs and enterprises for model training, evaluation, and technical hiring.

Last updated September 27, 2026

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Overview

Sourcebae is an AI workforce infrastructure platform that supplies on-demand domain experts to AI labs and enterprises for model training, evaluation, and technical hiring. According to its official website, the company positions itself as "The #1 AI Workforce Platform," offering a marketplace where more than 10,000 domain experts earn between $15 and $150 per hour working remotely with companies such as Google, Meta, and Anthropic, alongside 200+ leading AI companies. The platform emphasizes no fees, no hidden costs, weekly guaranteed payments, and the ability to work from anywhere. The company's service stack spans every layer of the AI training pipeline. It provides data annotation and labeling across image, text, audio, and video formats, claiming 2M+ annotations per month. It offers RLHF and human feedback services for preference ranking, constitutional AI alignment, and reward model calibration, with 50+ LLM projects served. It also delivers red teaming and safety testing by certified specialists, with 500+ vulnerability tests, and on-demand AI talent including pre-vetted ML engineers, prompt engineers, and data scientists. Sourcebae was founded by Shubham Kumar and Bindu Patidar. The idea originated in 2021 while the founders were advising enterprises on digital transformation and identified a gap: building enterprise teams required juggling multiple vendors and platforms. They envisioned a unified AI Workforce Infrastructure platform. In 2022, the company built its core platform, launched MSP and RPO solutions, and achieved $200k in revenue. In 2023, it expanded to enterprise clients, scaled MSP and RPO operations, integrated AI Training services, grew its team to 35 members, and achieved 200% growth. The company operates as a private entity and is headquartered in India, serving a global remote workforce. Its platform is designed to make workforce decisions faster, bias-free, and intelligently scalable, with a focus on creating lasting partnerships rather than just placements.

History

Sourcebae was founded by Shubham Kumar and Bindu Patidar. The idea for the company emerged in 2021 while the founders were advising enterprises on digital transformation. They identified a critical gap: building enterprise teams required juggling multiple vendors and platforms. They envisioned one unified AI Workforce Infrastructure platform to solve this challenge, and Sourcebae was born. In 2022, the company built the core AI Workforce Infrastructure platform and launched MSP and RPO solutions. It achieved $200k in revenue, validating market demand for integrated workforce platforms. In 2023, Sourcebae expanded to enterprise clients, scaling MSP and RPO operations. It integrated AI Training services into the platform. The team grew to 35 members, and the company achieved 200% growth, proving the enterprise impact of its AI Workforce Infrastructure. According to its official website, Sourcebae now operates as an AI workforce platform connecting over 10,000 domain experts with AI labs and enterprises. The platform supports data annotation and labeling, RLHF and human feedback, red teaming and safety, and on-demand AI talent. It claims to serve 200+ leading AI companies, including Google, Meta, and Anthropic, and processes 2M+ annotations per month, 50+ LLM projects, and 500+ vulnerability tests.

  • 2023

    Expanded to enterprise clients, scaled MSP and RPO operations, integrated AI Training services, grew team to 35 members, and achieved 200% growth.

  • 2022

    Built the core AI Workforce Infrastructure platform, launched MSP and RPO solutions, and achieved $200k revenue.

  • 2021

    The idea for Sourcebae was born while founders Shubham Kumar and Bindu Patidar advised enterprises on digital transformation.

Products and positioning

The #1 AI Workforce Platform connecting domain experts with leading AI companies for model training, evaluation, and technical hiring.

  • Data Annotation & Labeling

    Multi-format image, text, audio, and video labeling. Fully audit-ready, quality-assured, and delivered at speed. 2M+ annotations/month.

  • RLHF & Human Feedback

    Expert human raters for preference ranking, constitutional AI alignment, and reward model calibration across any vertical. 50+ LLM projects served.

  • Red Teaming & Safety

    Adversarial testing by certified specialists. We stress-test models before they reach the real world. 500+ vulnerability tests.

  • On-Demand AI Talent

    Pre-vetted ML engineers, prompt engineers, and data scientists. No recruiter lag, no ramp time. 10,000+ experts on-demand.

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