Open AI
Video
Prompt + Response Writing (SFT)Worked as an AI Trainer and Data Labeling Specialist on advanced generative AI and evaluation projects for Invisible Technologies and OpenAI-related workflows. Responsible for prompt-response writing, video annotation, AI response evaluation, reinforcement learning feedback tasks, and quality validation for large language models. Performed data labeling and annotation for multimodal datasets including video, text, and conversational AI outputs. Tasks included evaluating AI-generated responses for factual accuracy, reasoning quality, instruction adherence, safety compliance, tone consistency, and overall model performance. Contributed to prompt engineering, ranking model outputs, error analysis, red teaming, and human feedback-based training processes. Worked on large-scale AI training projects requiring high accuracy, deterministic evaluation methods, and strict annotation guidelines. Collaborated with QA teams and reviewers to maintain annotation consistency and improve model reliability across real-world scenarios. Followed detailed quality assurance standards, project rubrics, and operational protocols to achieve high-quality deliverables within deadline-driven environments. Familiar with RLHF workflows, AI evaluation frameworks, structured labeling systems, and production-level annotation pipelines.