Veroh Wanza

I'm an AI Data Annotation & Evaluation Associate, reviewing image, audio, and text data for AI training pipelines. I evaluate LLM responses for correctness, clarity, and instruction-following while documenting structured written feedback.

I perform object detection and semantic segmentation on visual datasets, validating bounding boxes and pixel-level labels for accuracy. I also structure labeled data in JSON and CSV formats and refine prompts to identify edge cases and failure patterns in multimodal outputs.

My research and editorial work includes reviewing writing for logical consistency, grammar, and factual accuracy, compiling research summaries, and fact-checking claims against primary and secondary sources.

With a Computer Science background covering artificial intelligence, natural language processing, machine learning, algorithms, statistics, and logic, I work independently in remote, asynchronous teams with careful attention to detail.