AI Trainer / Data Annotator (Freelance / Remote Contractor)
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RLHFEvaluated large language model outputs and provided relevance, factuality, safety, coherence, tone, and formatting judgments to support RLHF-style ranking and preference learning. Performed data annotation and dataset curation tasks by reviewing AI-generated content against project-specific constraints and guidelines. Produced structured, detailed feedback that explained why responses were preferred or rejected to improve downstream model behavior and evaluation quality.• Ranked model responses based on accuracy and relevance while identifying bias and inconsistencies.• Verified adherence to evolving evaluation instructions and complex prompt/response constraints.• Documented reasoning for quality assurance decisions to maintain consistency across examples.• Supported generative AI fine-tuning through annotated datasets and feedback loops.