Bruno Joshua

I’m an AI Evaluator and Content Moderator with deep expertise in search quality analysis, NLP-driven insights, and rigorous online research. I focus on dissecting search engine outputs, pinpointing factual accuracy, and elevating content relevance to strengthen AI performance.

I excel at data annotation, RLHF, and supporting high-impact model training. In my current work, I’ve annotated 100+ hours of autonomous vehicle image datasets in Labelbox and 100+ hours of car video frames in CVAT, using bounding boxes, polygons, and segmentation to label vehicles, lanes, traffic elements, and complex scene components.

Previously, I worked as an independent contractor as a remote Social Media Evaluator, performing AI-driven evaluations of relevance, sentiment, and guideline compliance. I also review and rate search engine results to improve AI-based ranking algorithms, and I identify and flag misinformation, offensive content, and policy violations to refine AI moderation systems.

I also bring earlier experience as a Remote AI Data Annotator & NLP Model Trainer and as a Remote Search Quality Rater, where I evaluated AI-generated outputs for factual correctness, safety compliance, and overall response quality. I’m a reliable remote professional who thrives in fast-paced environments and delivers high-quality results with independence and accountability.