Project Outlier - Aether
Listening to Audio recordings and either translating, adding captions, determing if the dataset is valid.
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I am a detail-oriented AI training and data specialist with hands-on experience in data annotation, reinforcement learning from human feedback (RLHF), prompt engineering, and AI model evaluation. I have contributed to cutting-edge generative AI projects, including large language models and video generation systems, where I evaluated model outputs for accuracy, safety, and relevance, crafted complex prompts to test model limitations, and provided structured feedback to improve model alignment. My background includes generating and annotating both text and video data, performing side-by-side model comparisons, and identifying harmful or biased content to enhance model guardrails. I am skilled in critical thinking, content quality assessment, and collaboration within strict guidelines, and thrive in both independent and team-based remote environments.
Listening to Audio recordings and either translating, adding captions, determing if the dataset is valid.
Various Tasks are provided each differing in nature and allowing assessors to train the model based upon our responses to the dataset provided.
Using Git to upload an existing codebase whose primary language is python to create a prompt, then compare the code output of two differing Models. You are to create iterations until the code produced is production-ready.
Various Tasks are provided each differing in nature and allowing assessors to train the model based upon our responses to the dataset provided.
Bachelor of Science, Computer Science
FC Associate