Key Skills

Software

AWS SageMaker

Google Cloud Vertex AI

Label Studio

Mighty AI

OpenCV AI Kit (OAK)

Surge AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Classification

Computer Programming/Coding

Evaluation/Rating

Freelancer Overview

I have 1–3 years of experience in data labeling and AI training, specializing in creating high-quality annotated datasets for machine learning and deep learning applications. My work has involved image, video, and text annotation, including tasks such as object detection, classification, semantic segmentation, and natural language processing. I am proficient with tools like LabelImg, CVAT, and Prodigy, and I have a strong understanding of data quality standards to ensure accurate and reliable model training. Throughout my experience, I have contributed to projects that improved model performance by providing precise and consistent annotations. I am detail-oriented, able to follow complex labeling guidelines, and familiar with managing large datasets efficiently. My ability to balance speed with accuracy and my collaborative approach in team-based projects make me a strong candidate for data labeling and AI training roles

Labeling Experience

AI Tranie

Google Cloud Vertex AIComputer Code ProgrammingDiagnosisEvaluation Rating

LLM Evaluation and Annotation Projects • Evaluated large language models (LLMs) for accuracy, relevance, and coherence of responses. • Identified errors, inconsistencies, and biases in model outputs and labeled them for corrective training. • Provided high-quality feedback and annotations to improve model performance and fine-tuning. • Collaborated with AI training teams to ensure that datasets are clean, precise, and aligned with training objectives.

LLM Evaluation and Annotation Projects • Evaluated large language models (LLMs) for accuracy, relevance, and coherence of responses. • Identified errors, inconsistencies, and biases in model outputs and labeled them for corrective training. • Provided high-quality feedback and annotations to improve model performance and fine-tuning. • Collaborated with AI training teams to ensure that datasets are clean, precise, and aligned with training objectives.

2024 - 2025

Education

Work History