Erik R.

Key Skills

Software

Scale AI

Appen

Lionbridge

Clickworker

Top Subject Matter

Large Language Models

Computer Vision

Model Alignment

Top Data Types

Image

Document

Text

Top Task Types

Bounding Box

Classification

Freelancer Overview

Senior AI Training Contributor & Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier AI, Scale AI, and Appen. Education includes Bachelor of Science, Florida State University (2017). AI-training focus includes data types such as Image and Document and labeling workflows including Bounding Box and Classification.

Labeling Experience

Senior AI Training Contributor & Data Annotator

ImageBounding Box

Performed hands-on data annotation and evaluation for frontier AI models. Completed over 4,000 structured annotation, rating, and RLHF tasks across areas such as instruction-following, code evaluation, and image annotation. Delivered advanced bounding box, segmentation, polygon, and OCR labeling for image datasets. • Used Outlier AI's platform for labeling and evaluation tasks. • Consistently maintained a 98.4% quality score on assigned work. • Applied RLHF, ranking, and flagging techniques for model compliance. • Specialized in prompt engineering to support LLM development.

2022 - Present

Freelance AI Data Specialist

Scale AIImageBounding Box

Delivered large-scale image annotation projects for computer vision applications, including vehicle detection and medical imaging. Collaborated on multi-platform data labeling efforts to meet enterprise quality standards. Developed scripting solutions to streamline preprocessing for annotation workflows. • Used Scale AI, Appen, Lionbridge, and Clickworker for labeling projects. • Performed facial landmark and satellite image annotation for diverse clients. • Classified images using bounding boxes and keypoints. • Improved personal annotation capacity through automation in Python.

2020 - 2021

IT Support Technician & Junior Systems Analyst (Data Tagging Initiative)

DocumentClassification

Led initiative to digitize and tag archival records with structured metadata for a large K-12 school system. Applied large-scale data classification and tagging techniques foundational to data annotation workflows. Supported early adoption of AI-assisted automation tools for administrative efficiency. • Digitized over 60,000 student records using metadata tagging systems. • Designed and executed document classification for records management. • Promoted new technology adoption among school administration. • Developed skills in high-volume document management and annotation.

2018 - 2020

Education

Work History