Connor B.

Key Skills

Freelancer Overview

While I have not worked in a formal data-labeling role, I have extensive experience working with scientific datasets through academic research in computational biology, bioinformatics, and neuroscience. My research has involved analyzing genomic and protein sequence data, curating datasets from public databases, validating computational results, identifying patterns in large datasets, and maintaining high standards of accuracy and quality control. Through these projects, I have developed strong attention to detail, the ability to follow complex protocols consistently, and experience making careful judgments based on evidence rather than assumptions. As an undergraduate research assistant, I regularly work with biological data, scientific literature, and computational tools, requiring precise data organization, annotation, and verification. I am comfortable learning new software and workflows quickly, have experience using Linux-based computing environments, and am skilled at identifying errors, inconsistencies, and edge cases within datasets. My combination of scientific research experience, analytical thinking, technical aptitude, and commitment to accuracy allows me to approach AI training and data-labeling tasks with the thoroughness and reliability needed to produce high-quality results.

Education

Work History