Explore our cutting-edge AI projects in dubbing, lip syncing, model evaluation, and data annotation. Join as a contributor and work on next-gen AI.
Multilingual voice dubbing using AI voice synthesis. Evaluate dubbed audio for naturalness, emotion accuracy, and lip-sync quality across 20+ languages.
Evaluate and annotate AI-generated lip sync videos. Rate sync accuracy, facial naturalness, and visual artifacts in AI-modified video content.
Evaluate AI-cloned voices for speaker similarity, emotional range, pronunciation accuracy, and safety compliance across multiple voice profiles.
Precision labeling for computer vision models — object detection, semantic segmentation, bounding boxes, keypoints, and image classification tasks.
Red-team large language models for safety, hallucination, bias, and toxicity. Expert evaluators test AI responses across sensitive categories.
Label text, audio, and video datasets for training next-gen AI models. Includes intent tagging, NER, sentiment analysis, and content classification.
Evaluate and rank search engine results for relevance, freshness, and user intent satisfaction. Rate queries across web, image, and video search.
Evaluate AI-generated images for prompt accuracy, visual quality, artistic coherence, and safety. Compare outputs across diffusion models.
Review AI platform content for policy violations, harmful material, misinformation, and NSFW detection. Multilingual moderation across text and media.