Aether
Various types of tasks all very different in what is asked of the trainer.
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I am an experienced AI training specialist with a strong background in evaluating and refining AI-generated content, particularly within natural language processing and content moderation domains. My expertise includes reinforcement learning from human feedback (RLHF), response evaluation and ranking, safety and ethical content review, and high-precision editing to enhance narrative coherence, emotional nuance, and stylistic quality. I have worked on complex annotation and content improvement tasks, identifying logical gaps, hallucinations, and safety risks while providing detailed justifications. My experience spans both creative and operational environments, including leadership roles at Amazon and high-stakes content development for major entertainment networks, which has honed my ability to deliver accurate, human-centered training data under tight deadlines. I am skilled with a range of AI evaluation platforms, as well as industry-standard writing and editing tools, and I thrive in roles that require rapid learning, clear communication, and meticulous attention to detail.
Various types of tasks all very different in what is asked of the trainer.
Rated the appropriateness, importance and quality in several response specific metrics/criteria including safety, atomicity, and specificity to the prompt.
Determining if the AI response failed on the axis specified or, at all.
Record text using assigned emotion and/or paralinguistic cues.
We identify the entity to assign the speech and non-speech elements throughout the clip. We visually identify the entity such that it is unmistakable who it being referred to and describe their vocal qualities. Time stamping each word to 100ms accuracy was also part of the guidelines. Then we used pre-generated tone intention tags to identify speaker intentions and seperate tags for emotions.
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