Hank C.

Key Skills

Software

No software listed

Top Subject Matter

Generative AI image evaluation and dataset visual QA

Dataset annotation and visual labeling for generative AI training

Top Data Types

Image

Top Task Types

Classification

RLHF

Entity (NER) Classification

Freelancer Overview

AI Image Trainer / Stable Diffusion Image Evaluator (4+ years). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Photoshop and Lightroom. AI-training focus includes data types such as Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Image Generation and Evaluation Specialist - Independent

ImageRLHFEntity (NER) Classification

The role focused on generating, evaluating, and ranking AI images using Stable Diffusion workflows. Responsibilities included prompt engineering, human preference evaluation, and visual QA to assess image quality and alignment. The work required prompt engineering skills, understanding of generative AI evaluation, and careful dataset-level consistency. • Produced and reviewed thousands of AI-generated images • Designed prompts and performed iterative prompt engineering • Conducted human preference evaluation and image ranking • Performed generative AI testing and visual QA review

2021 - Present

AI Image Trainer / Stable Diffusion Image Evaluator (4+ years)

Image

Provided image evaluation and visual quality assurance for thousands of Stable Diffusion outputs. Performed human preference ranking and assessment to compare generated images against desired quality criteria. Conducted generative AI testing to validate model output reliability and usability. • Evaluated image quality and visual consistency • Applied human preference judgment to rank outputs • Reviewed and validated thousands of AI-generated images • Supported prompt-driven evaluation cycles

2022 - 2025

Dataset Annotation and Visual Labeling (with QA review)

ImageClassification

Completed dataset annotation and visual labeling for AI image training and quality improvement. Conducted QA review of labeled visuals to ensure accuracy, completeness, and adherence to guidelines. Coordinated prompt engineering and ranking tasks as part of iterative dataset refinement. • Produced visual labels/annotations for training data • Performed QA review on annotated samples • Assisted dataset annotation quality checks • Combined annotation with ranking and evaluation feedback loops

2018 - 2021

Education

Work History