data annotation
Categorized and labeled structured datasets for small AI pilot initiatives
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
I am an experienced AI Data Annotation Lead and Research Validation Specialist with over five years supporting machine learning development through meticulous data labeling, annotation, and content verification. My background includes leading large-scale annotation projects involving text, image, and structured data for California-based tech firms, where I have applied multi-layer evaluation rubrics to ensure the factual accuracy and structural compliance of AI-generated outputs. I am skilled in designing and refining taxonomies, conducting fact-checking, and improving dataset reliability—particularly for NLP and structured data projects. I am proficient with tools such as CVAT, Label Studio, Data Loop, SQL, and Excel, and have a strong grasp of quality assurance methodologies and structured documentation. My experience includes mentoring junior annotators, collaborating with data engineers to reduce model errors, and producing validation metrics that drive continuous improvement in data quality. I am passionate about supporting the development of reliable AI systems through rigorous data practices and cross-functional teamwork.
Categorized and labeled structured datasets for small AI pilot initiatives
Identify ambiguity patterns in prompt-response datasets, reducing model hallucination rates during early training cycles
Conducted manual data cleaning to eliminate duplication and formatting inconsistencies
Bachelor of Science, Information Systems
Associate Degree, Computer Information Systems
Research Validation Associate
Data Support Analyst