Reuben Orina

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Mapping

Point Key Point

Relationship

Freelancer Overview

I am an AI professional with 3 years of hands-on experience specializing in data annotation, data entry, transcription, and model evaluation, particularly within the medical field. My background includes evaluating AI outputs and large language models, documenting findings to improve system performance, and collaborating with cross-functional teams to refine evaluation rubrics. I have a strong foundation in machine learning, data science, and NLP, supported by my education in radiography and computer science. I am detail-oriented, skilled in quality control, and passionate about advancing AI technology through rigorous data labeling and real-world data contribution. My ability to communicate complex concepts clearly and deliver high-quality results under tight deadlines makes me a valuable contributor to any AI training data project.

Labeling Experience

Data Labeling

AppenImagePoint Key Point

Worked on a data labelling project focused on preparing high-quality datasets for machine learning models. Reviewed and annotated images, text, and other digital content according to detailed guidelines to ensure accurate classification and consistency. Identified objects, categorized information, and verified labels to improve the quality of training data. Maintained attention to detail while meeting project deadlines and productivity targets. Collaborated with team members to resolve ambiguities and follow quality control standards. The project strengthened skills in data annotation, analytical thinking, accuracy, and familiarity with AI training workflows, contributing to the development of reliable machine learning systems.

Worked on a data labelling project focused on preparing high-quality datasets for machine learning models. Reviewed and annotated images, text, and other digital content according to detailed guidelines to ensure accurate classification and consistency. Identified objects, categorized information, and verified labels to improve the quality of training data. Maintained attention to detail while meeting project deadlines and productivity targets. Collaborated with team members to resolve ambiguities and follow quality control standards. The project strengthened skills in data annotation, analytical thinking, accuracy, and familiarity with AI training workflows, contributing to the development of reliable machine learning systems.

2022 - 2024

Education

Work History