Ken Y.

Key Skills

Software

Micro1

Mercor

Top Subject Matter

AI-generated images and text evaluation

preference/ranking (RLHF-style) datasets

Prompt engineering and iterative evaluation for AI-generated image/video content

Top Data Types

Image

Video

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Evaluator & Annotator — Alignerr, micro1, Mercor (2024–Present). Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Alignerr, Micro1, and Mercor. Education includes Continuing Education Course, Vanderbilt University (2025). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Content Creator & Prompt Engineer — Reel Scroll Empire (Jan 2025–Present)

ImagePrompt + Response Writing (SFT)

Wrote and refined daily prompts for image and video generation models while tracking what worked and why. Built an AI-native short-form video production pipeline that required systematic iteration and quality checks on outputs. Maintained consistent character identity across prompts and tools to support coherent generation results. • Developed and iterated image/video prompts using detailed notes on failures and improvements • Built ComfyUI-based workflows for dance video generation with trial-and-error tuning • Created a character bible to keep outputs coherent across dozens of prompts and tools • Assessed deliverable compliance for creator campaigns by spotting when outputs were not publish-ready

2025 - Present

AI Evaluator & Annotator — Alignerr, micro1, Mercor (2024–Present)

Image

Evaluated AI-generated images and text for quality, helpfulness, and alignment with user intent across multiple annotation tracks. Prepared and refined preference-ranking and mock evaluation workflows to better understand what the platforms measure. Applied domain knowledge in creative, JDM, and AV tech contexts to inform consistent judgments. • Completed qualification and technical interview stages for micro1 Creative & Visual Arts and AI Model Evaluator tracks • Produced RLHF-style feedback and ensured annotations were specific rather than vague • Built mock evaluation scripts and preference-ranking exercises to support interview prep • Used consistent criteria for tone, safety, and usefulness during evaluation tasks

2024 - Present

Education

Work History