Rachel E. Kayan

Key Skills

Software

Telus

Appen

Micro1

Remotasks

Top Subject Matter

Loan Documents

Pii Domain Expertise

Financial Compliance & Risk Analysis

Top Data Types

Document

Text

Image

Top Task Types

Entity (NER) Classification

Bounding Box

Classification

Text Generation

Object Detection

Question Answering

RLHF

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

Trainer/Reviewer, Data Annotation Specialist. Brings 30+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1, Telus, and Outlier.AI. Education includes Certificate in Educator Preparation, Broward College (2025) and Master of Business Administration, Thomas University (2001). AI-training focus includes data types such as Document and Text and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

Data Partner/Generalist

TelusText

As a Data Partner/Generalist at Telus Digital, I was involved in developing, enhancing, and evaluating AI models for text-based tasks. My key responsibilities included reasoning annotation and performance evaluation of model outputs. This contributed to the iterative improvement of NLP systems. • Developed and enhanced AI models for reasoning tasks. • Annotated text data to support AI training. • Evaluated AI model outputs for quality and relevance. • Collaborated with teams to refine evaluation methodologies.

As a Data Partner/Generalist at Telus Digital, I was involved in developing, enhancing, and evaluating AI models for text-based tasks. My key responsibilities included reasoning annotation and performance evaluation of model outputs. This contributed to the iterative improvement of NLP systems. • Developed and enhanced AI models for reasoning tasks. • Annotated text data to support AI training. • Evaluated AI model outputs for quality and relevance. • Collaborated with teams to refine evaluation methodologies.

2026 - Present

Trainer/Reviewer, Data Annotation Specialist

Micro1DocumentEntity Ner Classification

As a Trainer/Reviewer and Data Annotation Specialist at Micro1, I worked extensively on PII tokenization and annotation of loan documents. My role required highly detailed entity recognition and review within sensitive financial documentation. I also performed hands-on image labeling and took part in quality reviews to ensure accuracy. • Responsible for annotating loan documents for PII entities. • Conducted quality reviews of image labels and document annotation. • Trained new annotators and reviewed their work for error reduction. • Maintained exceptional attention to detail throughout projects.

As a Trainer/Reviewer and Data Annotation Specialist at Micro1, I worked extensively on PII tokenization and annotation of loan documents. My role required highly detailed entity recognition and review within sensitive financial documentation. I also performed hands-on image labeling and took part in quality reviews to ensure accuracy. • Responsible for annotating loan documents for PII entities. • Conducted quality reviews of image labels and document annotation. • Trained new annotators and reviewed their work for error reduction. • Maintained exceptional attention to detail throughout projects.

2026 - Present

Senior Reviewer/Generalist

Text

In my role as Senior Reviewer/Generalist at Outlier.AI, I provided critical feedback on AI-generated textual content. My duties included ensuring content accuracy and the utility of outputs by evaluating with standardized rubrics. Additional tasks included prompt engineering and rubric creation for AI model development. • Provided quality feedback on AI-generated text content. • Evaluated outputs with client-specific rubrics. • Assisted in prompt engineering for data generation. • Helped develop evaluation standards for future projects.

In my role as Senior Reviewer/Generalist at Outlier.AI, I provided critical feedback on AI-generated textual content. My duties included ensuring content accuracy and the utility of outputs by evaluating with standardized rubrics. Additional tasks included prompt engineering and rubric creation for AI model development. • Provided quality feedback on AI-generated text content. • Evaluated outputs with client-specific rubrics. • Assisted in prompt engineering for data generation. • Helped develop evaluation standards for future projects.

2025 - Present

Education

Work History