Teaching LLMs how to read the room, spot the cat, and speak like a human.
Every day, leading technology companies build massive generative models. But left to their own devices, those models can be a bit awkward. They miss context, hallucinate facts, or completely fail to see that a cat is, in fact, a cat.
That is where I step in.
With a B.S. in Technical Communications and nearly 20 years of experience as a professional editor, writer, and fact-checker, I spent 8 months working inside advanced AI training ecosystems. As a generalist evaluator across dozens of micro-projects, I helped train next-generation models to master text, images, video, and audio.
I don’t just check boxes—I bridge the gap between machine outputs and human intuition.
Core Capabilities
Multimodal Quality Evaluation: Critiquing and ranking LLM text, video, and audio outputs using precise, evidence-based logic.
AI Humanization & Line Editing: Refining automated responses to eliminate robotic phrasing, align with strict style guides, and preserve brand voice.
Visual Instruction & Prompt Writing: Authoring complex descriptive prompts to guide text-to-image and text-to-video engines through precise modifications.
Computer Vision Grounding: Executing targeted data labeling, entity tagging, and bounding-box object localization on major social media platforms.
Audio Prompt Generation: Recording targeted voice queries across diverse topic categories and conversational styles, testing model comprehension against real-world background noise.