Vica Mindrean

Key Skills

Software

Internal/Proprietary Tooling

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Evaluation Rating

Relationship

Classification

RLHF

Prompt Response Writing SFT

Freelancer Overview

I am a senior AI/ML taxonomist and specialist with over 9 years of experience in data annotation, labeling, and the creation of high-quality training datasets for AI models. My expertise spans LLM output evaluation, RLHF-style human feedback, prompt response rating, and the design of robust evaluation rubrics and annotation guidelines. I have led initiatives to develop and maintain complex taxonomies and knowledge graphs, particularly in domains like professional skills, education, and search relevance. My work has consistently improved model precision and recall, optimized annotation workflows, and established scalable quality frameworks. I thrive in cross-functional teams, collaborating closely with data science, engineering, and product groups to ensure the delivery of accurate, reliable data that powers advanced AI solutions.

Labeling Experience

AI Data Quality Consultant

Internal Proprietary ToolingTextEvaluation Rating

As an AI Data Quality Consultant, I applied structured evaluation frameworks to assess model performance, bias, and response quality. I supported business operations and product development initiatives through AI-assisted workflows. I delivered detailed feedback for the continual improvement of AI output quality.

As an AI Data Quality Consultant, I applied structured evaluation frameworks to assess model performance, bias, and response quality. I supported business operations and product development initiatives through AI-assisted workflows. I delivered detailed feedback for the continual improvement of AI output quality.

2024

Sr. Taxonomist

Internal Proprietary ToolingTextRelationshipClassification

As a Sr. Taxonomist at LinkedIn, I evaluated AI/ML model outputs to identify error patterns and delivered structured feedback. I delivered labeled training datasets through systematic quality evaluation cycles. I developed rubrics, guidelines, and frameworks to establish ground truth datasets for scalable ML model training. • Designed and maintained domain-specific taxonomies and hierarchical classifications. • Improved model precision and recall through multiple annotation and evaluation cycles. • Standardized workflow processes to reduce annotation cycle time by 40%. • Established IAA benchmarks for annotation quality and consistency.

As a Sr. Taxonomist at LinkedIn, I evaluated AI/ML model outputs to identify error patterns and delivered structured feedback. I delivered labeled training datasets through systematic quality evaluation cycles. I developed rubrics, guidelines, and frameworks to establish ground truth datasets for scalable ML model training. • Designed and maintained domain-specific taxonomies and hierarchical classifications. • Improved model precision and recall through multiple annotation and evaluation cycles. • Standardized workflow processes to reduce annotation cycle time by 40%. • Established IAA benchmarks for annotation quality and consistency.

2019 - 2024

Lead Search Ranking Analyst

AppenTextEvaluation Rating

As a Lead Search Ranking Analyst, I evaluated and annotated search results to optimize algorithmic ranking. I managed multiple concurrent annotation and evaluation projects to improve workflow accuracy. I created project guidelines and increased the speed and quality of human-rated data. • Evaluated search relevance and accuracy for global contractors. • Oversaw error rate reduction initiatives and workflow enhancements. • Improved overall health score metrics and annotation project completeness. • Authored comprehensive annotation and evaluation documentation.

As a Lead Search Ranking Analyst, I evaluated and annotated search results to optimize algorithmic ranking. I managed multiple concurrent annotation and evaluation projects to improve workflow accuracy. I created project guidelines and increased the speed and quality of human-rated data. • Evaluated search relevance and accuracy for global contractors. • Oversaw error rate reduction initiatives and workflow enhancements. • Improved overall health score metrics and annotation project completeness. • Authored comprehensive annotation and evaluation documentation.

2017 - 2019

Education

Work History