AI Model Training (Generalist) - Outlier AI (Remote)
Other
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TextActively trained and evaluated LLM-based AI models by reviewing outputs across diverse use cases for quality and usefulness. Analyzed responses for clarity, coherence, and factual accuracy, and supplied detailed feedback to improve both model performance and training data quality. Performed iterative assessment cycles during hands-on experimentation to refine evaluation criteria and guidance for better results. • Evaluated output quality, accuracy, and relevance • Provided detailed feedback for model and dataset improvement • Assessed clarity, coherence, and factual correctness • Worked across multiple LLM use-case scenarios
2025 - Present