Applied AI Specialist, Data Annotation
Evaluate, create, and refine LLM outputs/inputs in finance, STEM, and medical domains. Focused on reasoning quality, factual accuracy, instruction following, and domain appropriateness. Generate context files and grading guidelines for agentic AI systems, including multi-step research prompts, response-comparison tasks, ERP/finance, and medical/STEM reasoning cases. Identify model failures and translate findings into scoring and revision notes. Work with transcripts, spreadsheets, CRM exports, financial records, CSV datasets, and professional source documents to test whether models can retrieve, reason, and produce reliable formatted outputs.