Scientific Data Annotation Specialist | Chemistry, Biology & Physics | Scale AI Projects
Worked with Scale AI on multiple scientific data labeling and evaluation projects supporting AI/ML and large language model training. Annotated and validated complex chemistry, biology, and physics datasets including experimental results, research text, equations, structured tables, and scientific imagery. Responsibilities included entity tagging, classification, extraction of key scientific variables, labeling domain-specific terminology, reviewing model outputs for accuracy, and performing quality assurance checks. Maintained high precision standards through guideline adherence, peer review, and consistency audits. Contributed to improving model understanding of scientific concepts by producing clean, reliable, and well-structured training data across thousands of samples.