Terrel A.

Key Skills

Software

Other

Top Subject Matter

Supervised machine learning datasets (text sentiment, intent, NER, and topic classification)

Top Data Types

Text

Image

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

Data Annotator | Freelance / Project Based. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Classification, and Sentiment Analysis.

Labeling Experience

Data Annotation Specialist - Freelance

TextClassification

Provided high inter-annotator agreement labeling support for supervised machine learning text dataset projects, working remotely on an ongoing basis. Applied detailed annotation guidelines to classify sentiment, intent, named entities, and topic categories across diverse text corpora. Performed quality assurance on both personal and peer outputs while documenting edge cases to improve consistency and data integrity. • Labeled and categorized large volumes of text data for ML training datasets • Followed complex, project-specific annotation guidelines to reduce ambiguity • Conducted QA spot-checks, cross-validation, and systematic error correction • Logged annotation decisions and edge cases to refine team consistency

2021 - Present

Data Annotator | Freelance / Project Based

OtherTextEntity (NER) Classification

Served as a data annotator for supervised machine learning datasets, focusing on consistent labeling across large volumes of text corpora. Applied detailed annotation guidelines to label sentiment, intent, named entities, and topics to support downstream model training. • Labeled sentiment, intent, named entities (NER), and topic categories • Ensured inter-annotator agreement through uniform guideline application • Conducted quality assurance checks on both self and peer annotations • Documented edge cases and corrections to improve dataset integrity

2021 - Present

Work History