Data Annotator
Projects required verbal and written prompt creation (sometimes requiring images), transcription, model evaluation and ranking, rubric creation, and golden response writeups. Subjects spanned from generalist to STEM and Business Administration domains. As a reviewer and auditor, contributor tasks were rated and constructive feedback was provided.