Henry B.

Key Skills

Software

Don't disclose

Top Subject Matter

LLM instruction tuning

safety/toxicity labeling

and dialogue QA

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Segmentation

Classification

Freelancer Overview

Data Labeler & AI Trainer — SLICE TECHNOLOGIES (Illinois). Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Bachelor of Science, Midlands State University (2017) and Master of Science, Eastern Illinois University (2019). AI-training focus includes data types such as Text, Image, and Medical and labeling workflows including RLHF, Segmentation, and Classification.

Labeling Experience

Data Labeler & AI Trainer — SLICE TECHNOLOGIES (Illinois)

TextRLHF

Managed annotation and review workflows to improve instruction-tuning and model response safety quality. Collaborated with ML engineers to produce training-ready JSON/COCO/CSV datasets and performed sanity checks and edge-case sampling for training stability. • Implemented human-in-the-loop review cycles to detect hallucinations and harmful outputs • Provided corrective annotations and feedback to model teams for improved response behavior • Maintained quality assurance via spot checks and sampling-based QA • Authored annotation guidelines that reduced conflicts and increased agreement

2024 - 2026

Junior Data Annotator — LABELRIGHT SOLUTIONS (Columbus)

Don't discloseImageSegmentation

Performed high-throughput visual and text annotation to create supervised datasets for ML ingestion and model training. Conducted routine spot-check audits and generated weekly QA reports with frequent error classes and guideline clarification recommendations. • Annotated medical imaging and retail imagery plus support-ticket text classification datasets • Migrated annotation exports from proprietary CSV formats to COCO/JSON • Assisted engineers with sample-level debugging for training runs • Onboarded new annotators and provided clarification via daily office-hours sessions

2021 - 2023

Annotation Intern — NORD INFO SERVICES (Cleveland)

Don't discloseClassification

Assisted with labeling for early-stage computer vision and NLP projects, contributing labeled image and text samples for pilot model training. Helped create initial annotation guideline drafts and edge-case examples that later became formal SOPs. • Contributed ~25,000 labeled images and text for pilot training • Performed initial QA passes and logged recurring error classes • Refined taxonomy definitions and labeling conventions with senior annotators • Wrote data validation scripts to reduce post-export clean-up by ~20%

2018 - 2019

Education

Work History