Brian R.

Key Skills

Software

Scale AI

Remotasks

Appen

Top Subject Matter

AI training data preparation for computer vision and multimodal ML

Computer vision annotation and dataset labeling for ML projects

Speech and language AI dataset labeling with text/audio categorization

Top Data Types

Image

Audio

Top Task Types

Segmentation

Object Detection

Entity (NER) Classification

Freelancer Overview

Data Annotation Specialist (Scale AI) - Remote, USA. Core strengths include Scale AI, Remotasks, and Appen. Education includes Bachelor of Science, University of Nairobi (2022) and Certificate, Harvard University (2023). AI-training focus includes data types such as Image and Audio and labeling workflows including Segmentation, Object Detection, and Entity (NER) Classification.

Labeling Experience

Data Annotation Specialist (Scale AI) - Remote, USA

Scale AIImageSegmentation

Annotated complex image datasets and related multimodal content for AI model training, ensuring accuracy and adherence to project instructions. Performed review of annotation outputs and corrected inconsistencies to maintain rigorous quality standards for downstream machine learning development. Followed labeling guidelines to preserve dataset consistency and reliability across large batches. • Achieved 98%+ annotation accuracy through careful labeling • Reviewed and corrected inconsistencies during quality assurance checks • Maintained high-quality outputs per project guidelines • Managed large datasets under tight deadlines in a remote setting

2024 - Present

Freelance Data Annotator (Remotasks) - Remote, USA

RemotasksImageObject Detection

Completed data labeling and categorization tasks for diverse machine learning initiatives. Conducted precise computer vision annotations including image segmentation and object detection for model training. Maintained productivity targets and annotation quality while collaborating with remote teams and project reviewers. • Performed image segmentation and object detection annotations • Categorized labeled data according to project requirements • Met productivity targets across multiple simultaneous projects • Refined annotation workflows with reviewers and remote teams

2022 - 2024

AI Data Contributor (Appen) - Remote, USA

AppenAudioEntity (NER) Classification

Contributed to preparing high-quality datasets for speech and language AI systems. Performed data validation and quality checks to ensure dataset integrity for model training. Labeled and categorized text and audio data according to project-specific taxonomies while maintaining confidentiality and accuracy. • Validated and quality-checked data for dataset integrity • Labeled and categorized text and audio data per taxonomies • Ensured confidentiality of project data • Met weekly volume targets for labeling throughput

2021 - 2022

Education

Work History