Shem Obwoge

Key Skills

Software

Labelbox

Appen

Top Subject Matter

Editorial Domain Expertise

General Domain Expertise

AI Content Quality

Top Data Types

Text

Image

Top Task Types

Classification

Entity Ner Classification

Freelancer Overview

Senior Copy Editor & Data Annotation Lead. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Appen, and Internal. Education includes Bachelor of Arts, University of Illinois Urbana-Champaign (2013). AI-training focus includes data types such as Text and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Senior Copy Editor & Data Annotation Lead

LabelboxTextClassification

As Senior Copy Editor & Data Annotation Lead at Luminary Editorial & AI Solutions, I led end-to-end annotation workflows for large-scale AI training projects. My main duties included annotating, categorizing, and quality auditing text, image, and multimodal data using rubric frameworks to maintain a >99.1% accuracy rate. I also developed team training materials and flagged editorial risks to improve model outputs. • Managed dataset labeling pipelines of 50,000+ entries per sprint. • Applied advanced taxonomies and editorial standards across data types. • Provided QA and structured feedback to ML engineers and research teams. • Onboarded and calibrated annotation teams to meet unified standards.

As Senior Copy Editor & Data Annotation Lead at Luminary Editorial & AI Solutions, I led end-to-end annotation workflows for large-scale AI training projects. My main duties included annotating, categorizing, and quality auditing text, image, and multimodal data using rubric frameworks to maintain a >99.1% accuracy rate. I also developed team training materials and flagged editorial risks to improve model outputs. • Managed dataset labeling pipelines of 50,000+ entries per sprint. • Applied advanced taxonomies and editorial standards across data types. • Provided QA and structured feedback to ML engineers and research teams. • Onboarded and calibrated annotation teams to meet unified standards.

2021 - Present

Data Annotation Specialist & Copy Editor

AppenTextEntity Ner Classification

As a Data Annotation Specialist & Copy Editor at DataBridge AI & Publishing Group, I classified and labeled over 1.8 million textual data points for various enterprise AI projects. The work centered on sentiment analysis, intent detection, named entity recognition, and SOP development for annotation QA. I also maintained and applied internal style guides and rubrics for high consistency. • Conducted peer QA audits for continuous improvement. • Categorized written text, transcripts, and image metadata per project guidelines. • Supported 5 cross-functional teams with annotation structure and standards. • Ensured project adherence to quality and accuracy thresholds.

As a Data Annotation Specialist & Copy Editor at DataBridge AI & Publishing Group, I classified and labeled over 1.8 million textual data points for various enterprise AI projects. The work centered on sentiment analysis, intent detection, named entity recognition, and SOP development for annotation QA. I also maintained and applied internal style guides and rubrics for high consistency. • Conducted peer QA audits for continuous improvement. • Categorized written text, transcripts, and image metadata per project guidelines. • Supported 5 cross-functional teams with annotation structure and standards. • Ensured project adherence to quality and accuracy thresholds.

2018 - 2021

Research Analyst & Information Classification Specialist

TextClassification

In my role as Research Analyst & Information Classification Specialist at Apex Research Partners, I handled information categorization using codebooks and classification frameworks. The focus was on synthesizing and labeling qualitative and quantitative data for structured research deliverables. I consistently maintained accuracy while classifying survey responses, interview transcripts, and archival records. • Produced structured datasets from diverse data sources. • Applied rubrics for categorizing responses across domains. • Ensured clarity and readability of client-facing reports. • Developed and reviewed internal classification deliverables.

In my role as Research Analyst & Information Classification Specialist at Apex Research Partners, I handled information categorization using codebooks and classification frameworks. The focus was on synthesizing and labeling qualitative and quantitative data for structured research deliverables. I consistently maintained accuracy while classifying survey responses, interview transcripts, and archival records. • Produced structured datasets from diverse data sources. • Applied rubrics for categorizing responses across domains. • Ensured clarity and readability of client-facing reports. • Developed and reviewed internal classification deliverables.

2013 - 2015

Education

Work History