Brian K.

Key Skills

Software

Mindrift

iMerit

Clickworker

Top Subject Matter

Artificial Intelligence (AI)

Natural Language Processing (NLP)

Data Annotation & Labeling

Top Data Types

Video

Image

Audio

Top Task Types

Classification

Freelancer Overview

I have experience supporting AI training and data annotation projects involving text classification, content moderation, sentiment analysis, prompt-response evaluation, and quality assurance for large language model datasets. My work has included reviewing and labeling datasets for accuracy, relevance, toxicity, grammar, and contextual alignment while following detailed annotation guidelines and maintaining high consistency standards. I am comfortable working with structured data workflows, spreadsheets, annotation platforms, and research-based tasks that require attention to detail and fast turnaround times. What sets me apart is a strong analytical and academic writing background, which helps me understand nuance, context, and language quality at a deeper level. I am skilled in identifying inconsistencies, improving dataset reliability, and handling repetitive tasks with precision. I also adapt quickly to new project requirements, maintain confidentiality, and communicate effectively within remote teams. My combination of critical thinking, research skills, and consistency makes me well-suited for AI training data and data labeling roles.

Labeling Experience

AI Training Data Annotation and Quality Review

ImageClassification

Worked on AI training data annotation and quality review tasks focused on improving machine learning and natural language processing models. Responsibilities included text classification, sentiment labeling, prompt-response evaluation, content moderation, grammar and relevance assessment, and verifying data consistency according to detailed annotation guidelines. Maintained high accuracy while handling large datasets and meeting project deadlines in remote work environments. Applied strong analytical, research, and language skills to identify contextual nuances, reduce labeling errors, and improve overall dataset quality. Experienced with structured workflows, spreadsheet-based data handling, and quality assurance processes for AI training systems. Adapted quickly to changing project requirements and maintained consistency across repetitive annotation tasks.

2023 - Present

Education

Work History