AI-Trainerin | Invisible Technologies
As an AI-Trainerin at Invisible Technologies, I was responsible for training and fine-tuning large language models as part of the Google Gemini project. My tasks included evaluating technical correctness and logical consistency of AI-generated answers, particularly in engineering and mathematics. I also contributed human feedback for reinforcement learning to enhance model reasoning. • Trained and fine-tuned LLMs with complex technical prompts and analytical tasks. • Carried out multilayered evaluations of model outputs for accuracy and coherence. • Produced high-quality datasets for reinforcement learning from human feedback (RLHF). • Ensured rigorous adherence to quality assurance protocols for AI data labeling.