Lynn Jeptoo

Key Skills

Software

Data Annotation Tech

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Video

Image

Top Label Types

Evaluation Rating

Action Recognition

Classification

Freelancer Overview

I am an experienced AI training and data annotation specialist with a strong background in video content evaluation, action recognition, and sentiment analysis for social media and computer vision projects. My expertise includes pairwise comparison and ranking of short-form videos, applying multifaceted labeling rules to enhance generative AI models, and ensuring high-quality, accurate training data for recommendation algorithms. I am proficient with tools such as Labelbox, Scale AI, CVAT, Amazon SageMaker Ground Truth, and Google Workspace, and have contributed to refining labeling taxonomies and edge-case documentation. My foundation in information technology and human-computer interaction enables me to deliver precise data annotation, quality auditing, and technical QA for AI applications.

Labeling Experience

Programming Data Annotation Specialist

Data Annotation TechComputer Code ProgrammingEvaluation Rating

Oversaw the annotation and pairwise evaluation of code completions for AI/ML training. Ensured the correctness of technical explanations generated by AI, focusing on programming logic and accuracy. Conducted quality checks through inter-annotator agreement to maintain dataset integrity. • Managed large-scale programming data labeling projects. • Led QA processes for technical AI outputs. • Performed rigorous code and explanation evaluations. • Specialized in AI model training for code-related data.

Oversaw the annotation and pairwise evaluation of code completions for AI/ML training. Ensured the correctness of technical explanations generated by AI, focusing on programming logic and accuracy. Conducted quality checks through inter-annotator agreement to maintain dataset integrity. • Managed large-scale programming data labeling projects. • Led QA processes for technical AI outputs. • Performed rigorous code and explanation evaluations. • Specialized in AI model training for code-related data.

2024

Freelance Data Annotation Specialist

LabelboxVideoAction Recognition

Labeled thousands of video frames focusing on action and emotion recognition tasks for AI/ML applications. Executed detailed comparative evaluations to assess video quality, interest, and viewer engagement. Utilized multiple annotation tools to deliver high-quality outputs with rigorous quality assurance. • Conducted video object tracking and action annotation. • Achieved high-accuracy sentiment analysis and NER in text. • Managed end-to-end labeling projects for diverse data types. • Implemented controllable processes in both Labelbox and AWS SageMaker.

Labeled thousands of video frames focusing on action and emotion recognition tasks for AI/ML applications. Executed detailed comparative evaluations to assess video quality, interest, and viewer engagement. Utilized multiple annotation tools to deliver high-quality outputs with rigorous quality assurance. • Conducted video object tracking and action annotation. • Achieved high-accuracy sentiment analysis and NER in text. • Managed end-to-end labeling projects for diverse data types. • Implemented controllable processes in both Labelbox and AWS SageMaker.

2021

Information Processing Specialist Data Annotation

Data Annotation TechImageClassification

Performed image classification, object detection, and NLP tasks in support of supervised machine learning workflows. Audited the work of newly trained annotators and designed effective taxonomy systems to standardize labeling. Automated workflows and pre-processed annotated data using Python scripting. • Applied object detection techniques on diverse image sets. • Led taxonomy and labeling standardization initiatives. • Supported NLP annotation projects for named entity recognition. • Automated annotation workflow processes for efficiency gains.

Performed image classification, object detection, and NLP tasks in support of supervised machine learning workflows. Audited the work of newly trained annotators and designed effective taxonomy systems to standardize labeling. Automated workflows and pre-processed annotated data using Python scripting. • Applied object detection techniques on diverse image sets. • Led taxonomy and labeling standardization initiatives. • Supported NLP annotation projects for named entity recognition. • Automated annotation workflow processes for efficiency gains.

2018 - 2020

Education

Work History