Key Skills

Software

Labelbox

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Top Label Types

Classification

Evaluation Rating

Freelancer Overview

I am an experienced AI training and model evaluation specialist with a strong background in data annotation, linguistic analysis, and large language model (LLM) evaluation. My expertise includes providing structured human feedback, identifying hallucinations, logical inconsistencies, and bias in AI-generated content, and ensuring safety and policy compliance. I have worked extensively with annotation platforms, advanced spreadsheet tools, and popular AI systems such as ChatGPT, Claude, and Gemini. My work has contributed to the creation of high-quality datasets and the fine-tuning of LLMs, resulting in improved model accuracy and reliability. I am passionate about building safer, smarter AI by maintaining strict quality standards, adapting quickly to evolving guidelines, and delivering high-accuracy annotations for NLP and supervised machine learning projects.

Labeling Experience

Quality Reviewer / Data Assistant

LabelboxTextEvaluation Rating

As a Quality Reviewer and Data Assistant, I reviewed data annotations to enforce labeling standards and improve data reliability. I provided quality control through detailed sample assessment and feedback. I refined and clarified annotation guidelines to enhance inter-annotator agreement. • Conducted systematic reviews of labeled data to ensure guideline compliance. • Offered feedback to data labeling team members for quality improvement. • Assisted in documentation updates and clarifications for labeling instructions. • Promoted reliable dataset quality for downstream AI applications.

As a Quality Reviewer and Data Assistant, I reviewed data annotations to enforce labeling standards and improve data reliability. I provided quality control through detailed sample assessment and feedback. I refined and clarified annotation guidelines to enhance inter-annotator agreement. • Conducted systematic reviews of labeled data to ensure guideline compliance. • Offered feedback to data labeling team members for quality improvement. • Assisted in documentation updates and clarifications for labeling instructions. • Promoted reliable dataset quality for downstream AI applications.

2020

Data Labeling Specialist

LabelboxTextClassification

As a Data Labeling Specialist, I categorized, tagged, and labeled large datasets according to structured guidelines for machine learning projects. I performed annotation and dataset validation with a focus on accuracy and consistency. I maintained high productivity and ensured high-quality data output for AI model development. • Labeled and categorized high-volume text, image, and audio data following strict protocols. • Achieved 98–100% annotation accuracy across diverse task types, including sentiment tagging and object identification. • Conducted quality reviews of labeled samples and flagged data inconsistencies. • Contributed annotated data used for training and improving AI system performance.

As a Data Labeling Specialist, I categorized, tagged, and labeled large datasets according to structured guidelines for machine learning projects. I performed annotation and dataset validation with a focus on accuracy and consistency. I maintained high productivity and ensured high-quality data output for AI model development. • Labeled and categorized high-volume text, image, and audio data following strict protocols. • Achieved 98–100% annotation accuracy across diverse task types, including sentiment tagging and object identification. • Conducted quality reviews of labeled samples and flagged data inconsistencies. • Contributed annotated data used for training and improving AI system performance.

2018

Education

Work History