
BRANDON TAFT
@brandontaft
I've completed 10,000+ LLM evaluations and improved AI review consistency through rigorous quality frameworks.
What I'm looking for
I've completed 10,000+ AI evaluation tasks across finance, reasoning, coding, and general knowledge, assessing model outputs against detailed quality rubrics. My work includes LLM response ranking, preference labeling, hallucination detection, and RLHF support.
Across remote AI evaluation projects, I've built reusable templates, checklists, and quality processes that improved reviewer consistency and reduced turnaround time by approximately 25%. I use Python and Excel to identify recurring failure patterns and have maintained 98%+ agreement with reference answers.
I've also annotated and validated more than 250,000 text, image, and document records, maintaining 99% annotation accuracy. Earlier legal document review work strengthened my approach to confidential records, structured information extraction, compliance, audit documentation, and quality reporting.
Experience
Work history, roles, and key accomplishments
Senior Data Annotation Specialist
Remote AI Data Projects
Jan 2024 - Present (2 years 8 months)
Annotated and validated 250,000+ text, image, and document-based records for machine learning training datasets. Performed quality assurance audits to ensure annotation accuracy and consistency.
AI Model Evaluator / Generative AI Quality Analyst
Remote AI Evaluation Projects
Jan 2021 - Present (5 years 8 months)
Completed 10,000+ AI evaluation tasks across finance, reasoning, coding, and general knowledge domains, assessing model responses against detailed quality rubrics. Performed LLM response evaluation, ranking, and preference labeling to support RLHF workflows.
AI Data Quality Analyst
Remote AI Data Projects
Jan 2020 - Dec 2022 (2 years 11 months)
Validated large-scale AI training datasets and identified annotation errors affecting model performance. Partnered with technical teams to improve labeling guidelines and quality standards.
Legal Document Review Specialist
Remote AI Data Projects
Jan 2016 - Dec 2020 (4 years 11 months)
Reviewed confidential legal records for accuracy, compliance, and structured information extraction. Identified inconsistencies and ensured documentation met quality and regulatory requirements.
Education
Degrees, certifications, and relevant coursework
University of Washington
Bachelor of Science, Statistics and Computer Science
Bachelor of Science in Statistics and Computer Science from the University of Washington.
Google Data Analytics Professional Certificate, Data Analytics
Professional certificate in data analytics from Google.
Microsoft
Microsoft Azure AI Fundamentals (AI-900), Artificial Intelligence
Microsoft Azure AI Fundamentals certification.
Python for Data Analysis
Python for Data Analysis, Data Analysis
Training in Python for data analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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