Key Skills

Software

Appen

CloudFactory

Clickworker

Data Annotation Tech

Deep Systems

iMerit

Mercor

Micro1

OneForma

Remotasks

Toloka

Top Subject Matter

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Legal Research & Document Analysis

Top Data Types

Text

Video

Document

Top Task Types

Transcription

Classification

Prompt + Response Writing (SFT)

Evaluation/Rating

Object Detection

Text Generation

Question Answering

Text Summarization

Freelancer Overview

I have hands-on experience in data labeling and AI training data pipelines, I have developed a strong foundation in annotating data such as text, images, audio, and video to support the development of high-performance machine learning models. I am proficient in tools such as Labelbox, Scale AI and Prodigy, and have worked on various projects such as named entity recognition (NER), sentiment analysis, object detection, image segmentation, and conversational AI dataset curation, consistently delivering annotations that meet strict quality benchmarks and inter-annotator agreement (IAA) standards. My attention to detail, deep understanding of annotation guidelines and ontologies, and ability to flag edge cases and ambiguous data have made me a reliable contributor to cross-functional teams. Beyond annotation, I bring experience in data cleaning, validation, and quality assurance workflows, ensuring that training datasets are accurate, unbiased, and well-balanced, which directly translates to more robust and fair AI systems. What sets me apart is my ability to quickly internalize complex labeling schemas across domains such as healthcare, e-commerce, autonomous vehicles, and NLP, and my commitment to consistency, throughput, and continuous improvement in fast-paced, deadline-driven environments.

Labeling Experience

Education

Work History