For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
A
Andrew C.

Andrew C.

AI Data Annotator, images and video

USA flagRochester, Usa

Key Skills

Software

No software listed

Top Subject Matter

Educational Technology & E-Learning Systems
Media Production
Computer Vision & Synthetic Data Engineering (E-Commerce / Architecture)

Top Data Types

ImageImage
VideoVideo
AudioAudio

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
Question AnsweringQuestion Answering
RLHFRLHF
Object DetectionObject Detection
Evaluation/RatingEvaluation/Rating

Freelancer Overview

AI Data Curation & Model Optimization (Expanded Section) ● Multi-Class Semantic Segmentation: Advanced execution of dense, pixel-level color-coded masking to map variable graphical user interfaces (GUIs) for computer vision layout parsing and automation training. ● Spatial & Geometric Calibration: Expert identifi cation and structural mitigation of model vulnerabilities, including linear perspective violations, spatial coherence drift, and horizon distortion. ● Chromatographic Alignment: Systematic enforcement of strict visual brand identity and color swatch consistency across multi-asset, cross-modal (image-to-video) generative pipelines. ● Macro-to-Micro Behavioral Mapping: Design of sparse component callouts and trajectory schemas to train AI models on dynamic, nested UI hierarchies and contextual dropdown menu states. ● Human-in-the-Loop (HITL) QA: Development of rigorous benchmarking methodologies and descriptive pre-prompting matrices to enforce absolute data fi delity and model guardrails.

Labeling Experience

Fellow

ImageImageQuestion AnsweringQuestion Answering

"My core contribution to the platform focused on Domain-Specific RLHF (Reinforcement Learning from Human Feedback) and adversarial AI Red Teaming within creative media and user interface ecosystems. Leveraging a multi-decade background in instructional design and advanced digital asset production, I executed high-level model alignment tasks by stress-testing advanced generative engines for architectural and geometric vulnerabilities. This included crafting complex, highly constrained prompt matrices to identify and isolate instances of spatial coherence drift—such as linear perspective distortion on horizontal ground planes—and engineered precise, human-in-the-loop ground-truth calibration data to correct these structural errors. Furthermore, my work encompassed evaluating complex, nested user interface hierarchies to train multimodal systems on dynamic micro-interactions, dropdown occlusion parameters, and translucent UI elements, directly improving model reasoning and compliance across specialized, cross-modal datasets."

2026 - 2026

Education

G

George Washington University

Master of Arts, Educational Technology Leadership - College of Education and Human Development

Master of Arts
2018 - 2020

Work History

C

CHR Solutions

Training & Documentation Manager

Rochester
2023 - 2025
M

Magnifi U, Inc.

Director of Instructional Design

Rochester
2021 - 2023