AI Data Services
Human Feedback & Model Eval
Aligning generative models for safety, accuracy, and preference.
Core Capabilities
01
RLHF & Preference Alignment
Human-in-the-loop preference feedback (ranking and comparison), detailed prompt engineering, prompt evaluation, and output rating to align LLMs and reduce hallucinations.
02
Red Teaming & Safety
Structured adversarial testing of AI models to identify harmful outputs, biases, jailbreak vulnerabilities, or safety gaps prior to deployment.
03
Content Moderation & QA
Human review of text, image, or video content to classify sentiment/tone and flag material against safety guidelines. Includes high-accuracy speech transcription.
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