Melissa G.

Key Skills

Software

Scale AI

Appen

Top Subject Matter

AI and machine learning dataset annotation for enterprise clients

NLP content labeling for AI model training

Speech recognition and NLP dataset annotation

Top Data Types

Image

Text

Audio

Top Task Types

Segmentation

Entity (NER) Classification

Transcription

Classification

Freelancer Overview

Senior Data Labeling Specialist — Scale AI (Remote, USA). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Appen. Education includes Bachelor of Arts, University of Alabama at Birmingham (1994) and Certificate, Coursera Professional Training (2020). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Segmentation, Entity (NER) Classification, and Transcription.

Labeling Experience

Senior Data Labeling Specialist — Scale AI (Remote, USA)

Scale AITextEntity (NER) Classification

Labeled and reviewed large-scale AI datasets to support machine learning model training, maintaining over 98% annotation accuracy. Performed text classification, sentiment analysis, and entity recognition to improve downstream NLP model performance. Conducted quality assurance reviews to ensure labels met project guidelines and remained consistent across annotators. • Text classification • Sentiment analysis • Entity recognition (NER) • QA validation and consistency feedback

2021 - Present

Senior Data Labeling Specialist — Scale AI (Remote, USA)

Scale AIImageSegmentation

Labeled and reviewed large-scale AI datasets to support machine learning model training, maintaining over 98% annotation accuracy. Conducted image segmentation tasks as part of enterprise AI client production workflows. Performed consistency-focused quality assurance reviews for annotation output quality. • Image segmentation • Collaboration with project managers on strict timelines • QA feedback for junior annotators • High-accuracy dataset preparation

2021 - Present

Data Annotation Analyst — Appen (Remote, USA)

AppenTextClassification

Annotated text datasets for natural language processing tasks within AI model training pipelines. Reviewed and corrected transcription-related and text data inconsistencies to improve dataset reliability. Ensured all annotations and metadata were accurate to help strengthen model performance. • Text dataset annotation • Inconsistency detection and correction • Metadata tagging • Guideline and quality adherence

2017 - 2021

Data Annotation Analyst — Appen (Remote, USA)

AppenAudioTranscription

Annotated text, audio, and video datasets for speech recognition and natural language processing projects. Reviewed transcription quality and corrected data inconsistencies to align with labeling guidelines. Added accurate labeling and metadata tagging to support AI model improvement. • Transcription review and correction • Audio dataset labeling for speech recognition • Metadata tagging for training data • Adherence to project productivity targets

2017 - 2021

Education

Work History