Data Trainer — OpenTrain AI (Remote) — AI dataset annotation, prompt evaluation, and QA
Prepared and annotated datasets for AI model training, including conversational dialogues and text inputs. Wrote and evaluated LLM prompts to improve response quality under detailed style and accuracy guidelines. Performed quality assurance by flagging biases, errors, and inconsistencies to maintain high accuracy thresholds. • Labeled conversational dialogues and text samples for training pipelines • Built and evaluated prompt sets for improved LLM output quality • Identified and reported dataset bias, errors, and inconsistencies • Coordinated with leads to refine protocols and ensure >95% agreement