Antoinette M.

Key Skills

Software

Appen

Scale AI

Top Subject Matter

Natural language processing (NLP) datasets

AI training datasets across text/image/audio/video

Top Data Types

Text

Image

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

AI Data Annotator at Appen. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Scale AI. Education includes Bachelor of Arts, University of North Carolina at Chapel Hill and Certificate, University of California, Irvine Extension. AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Classification, and Named Entity Recognition.

Labeling Experience

Data Labeling Specialist

Scale AIImageClassificationEntity (NER) Classification

No description provided.

2023 - Present

Data Labeling Specialist at Scale AI

Scale AITextClassification

Labeled and annotated diverse datasets with high accuracy and strong production throughput. Ensured that work followed established annotation guidelines by reviewing and correcting team outputs. Assisted in training new team members by sharing standards and best practices. • Achieved 99%+ annotation accuracy • Met production targets • Guideline adherence through review • Team collaboration and onboarding support

2023 - Present

AI Data Annotator at Appen

AppenTextEntity (NER) Classification

Classified and labeled datasets for natural language processing initiatives. Verified that annotations were consistent with project requirements and removed inaccurate labels. Reported annotation issues and contributed to workflow improvements. • Data labeling for NLP • Consistency verification • Removing inaccurate annotations • Issue reporting and workflow suggestions

2021 - 2022

Education

Work History