What is SourceBae?
SourceBae is the leading AI workforce platform connecting companies with pre-vetted domain experts for AI training, data labeling, and model evaluation. Trusted by Google, Meta, Anthropic, and over 200 top AI companies, SourceBae provides a seamless solution for building high-quality training datasets and fine-tuning AI models. The platform offers a diverse range of services including multi-format data labeling (image, text, audio, video), RLHF (Reinforcement Learning from Human Feedback), constitutional AI alignment, reward model calibration, red teaming, and adversarial testing. With a focus on quality and speed, SourceBae ensures fully audit-ready, quality-assured outputs delivered at scale. For domain experts, SourceBae offers a flexible, remote work opportunity with earnings ranging from $15 to $150 per hour, paid weekly via direct deposit or PayPal. Experts can sign up in minutes, get matched to projects based on their skills, and choose from tasks like annotation, red teaming, and more. The platform features an intuitive annotation tool with AI-assisted quality scoring at 98.7%, real-time feedback, and a transparent earnings dashboard. SourceBae's workforce includes specialists from top institutions and industries such as healthcare, legal, finance, engineering, and linguistics, ensuring diverse and domain-specific expertise. Companies benefit from pre-vetted ML engineers, prompt engineers, and data scientists, eliminating recruiter lag and ramp time. Custom data pipelines reduce bias and improve model accuracy, while structured benchmarking frameworks provide clear performance insights before deployment. Whether you need to label raw data, align models with human preferences, or stress-test AI systems, SourceBae delivers faster and smarter outcomes. Join over 10,000 domain experts and leading AI companies leveraging SourceBae to build better AI.
Use Cases
Key Features
AI workforce platform data labeling RLHF red teaming adversarial testing quality scoring real time feedback earnings dashboard multi format annotation model evaluationWho is it for?
AI companies, data scientists, machine learning engineers, domain experts, remote workers, AI trainers
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