Brian K.

Key Skills

Software

CloudFactory

Sama

Remotasks

Top Subject Matter

Computer vision and NLP dataset curation for AI/ML clients

Autonomous driving and e-commerce AI search relevance labeling

LLM output evaluation and RLHF data preparation

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Entity (NER) Classification

RLHF

Freelancer Overview

My experience in data labeling and AI training data spans over three years of high-precision work across industry-leading platforms such as CloudFactory, Sama, and Remotasks. I specialize in complex annotation tasks, including semantic segmentation, 2D/3D bounding boxes, and Lidar labeling, consistently maintaining quality scores of 98% or higher. Beyond standard computer vision, I have significant expertise in Reinforcement Learning from Human Feedback (RLHF), where I review and rank Large Language Model (LLM) outputs for accuracy and safety, as well as develop high-quality prompt-response pairs to fine-tune models in technical domains like coding and logic. What sets my qualifications apart is the unique intersection of hands-on data curation and a robust technical background in cybersecurity and IT infrastructure.

Labeling Experience

Data Annotation & Research Specialist at CloudFactory

CloudFactoryImageSegmentation

Annotated large-scale computer vision datasets for global AI/ML clients with 98%+ accuracy. Executed complex semantic segmentation and spatial annotations including 2D/3D bounding boxes and polyline work. Conducted structured data research and scrubbing to ensure label consistency across raw enterprise datasets.• Semantic segmentation and spatial annotation (2D/3D bounding boxes, polylines).• Data research and scrubbing for consistency in raw datasets.• Quality-focused annotation for high accuracy requirements.• Curation of computer vision and NLP data for clients.

2024 - Present

AI Data Analyst / Quality Associate at Sama

SamaTextEntity (NER) Classification

Performed high-precision annotation for autonomous driving and e-commerce AI search relevance. Identified and resolved labeling anomalies to reduce training error rates for Tier-1 clients. Ensured strict adherence to project SOPs and international data privacy regulations.• Annotation for autonomous driving related tasks and e-commerce search relevance.• QA/QC anomaly detection and resolution to lower training errors.• Compliance with project SOPs and data privacy requirements.• Support to maintain label quality for Tier-1 clients.

2023 - 2024

AI Training Specialist (RLHF) at Remotasks & Ecore Services

RemotasksTextRLHF

Reviewed and ranked LLM outputs for accuracy and safety using RLHF methodologies. Developed high-quality prompt-response pairs to support fine-tuning models for coding and logic domains. Mentored remote teams through peer reviews and quality audits to maintain high project standards.• RLHF evaluation and ranking of LLM outputs for safety and accuracy.• Prompt-response pair creation for SFT/fine-tuning pipelines.• Peer review and quality audits to enforce labeling guidelines.• Coaching/mentorship for remote contributors on annotation quality.

2021 - 2022

Education

Work History