AI Training Specialist at Stellar AI (AI training tasks, user–AI simulation, and text dataset annotation)
Designed and refined AI training tasks to improve large language model reasoning and decision-making in real-world scenarios. Simulated user–AI interactions to guide learning across a broad set of situations. Structured and annotated real-world text datasets (e.g., emails, chat logs, and service interactions) to enhance contextual accuracy and reliability. • Developed task templates and feedback loops for model improvement. • Performed dataset annotation and contextual structuring for better grounding. • Evaluated training outputs to support AI safety and reliability research. • Contributed high-quality, structured task design documentation for internal research and training workflows.