LLM Model Response Evaluation

Job description

Evaluating UI widgets, infographics, image factuality, side-by-side comparisons, and similar AI evaluation activities. The work may involve text, images, audio, video, HTML widgets, PDFs, or combinations of these modalities. The work is domain-agnostic and may cover topics across arts, culture, history, science, engineering, and more. Resources will be expected to independently research unfamiliar topics using trusted sources before making evaluation decisions. Each task will include detailed project guidelines within the evaluation platform. 3+ years of hands-on experience in LLM / GenAI data evaluation. Bachelor's Degree required Ability to research unfamiliar topics using trusted sources and make well-supported judgments. Comfortable evaluating content across multiple modalities Flexible and remote work Variable workload: Accept or decline tasks based on your availability No guaranteed hours: Workload may vary weekly Our client, a global technology company that helps businesses build, train, and manage AI systems is looking for experts to evaluate model-generated content against defined quality rubrics such as factuality, consistency, aesthetics, and other evaluation criteria.