Rhodah Gitahi

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Label Types

Action Recognition

Data Collection

Emotion Recognition

Freelancer Overview

Completed a job simulation where I worked as a Data Labeling Analyst for a hypothetical AI company, reviewing real customer support messages Practiced classifying messages for Intent, Sentiment, and PII (personally identifiable information) using a consistent labeling schema Evaluated tricky or ambiguous edge cases, and wrote short rationales justifying final label decisions Reviewed labeling work done by others, identified inconsistencies, and suggested one improvement to the team’s labeling guidelines Strengthened my ability to apply clear definitions, follow ethical privacy practices, and maintain consistency across data Gained hands-on experience in human-AI collaboration, foundational to roles in AI ops, trust & safety, and machine learning support

Labeling Experience

Forage Data labeling Job Simulation

Data Annotation TechDocumentEmotion RecognitionAction Recognition

-reviewing real customer support messages Practiced classifying messages for Intent, Sentiment, and PII (personally identifiable information) using a consistent labeling schema Evaluated tricky or ambiguous edge cases, and wrote short rationales justifying final label decisions Reviewed labeling work done by others, identified inconsistencies, and suggested one improvement to the team’s labeling guidelines Strengthened my ability to apply clear definitions, follow ethical privacy practices, and maintain consistency across data Gained hands-on experience in human-AI collaboration, foundational to roles in AI ops, trust & safety, and machine learning support

-reviewing real customer support messages Practiced classifying messages for Intent, Sentiment, and PII (personally identifiable information) using a consistent labeling schema Evaluated tricky or ambiguous edge cases, and wrote short rationales justifying final label decisions Reviewed labeling work done by others, identified inconsistencies, and suggested one improvement to the team’s labeling guidelines Strengthened my ability to apply clear definitions, follow ethical privacy practices, and maintain consistency across data Gained hands-on experience in human-AI collaboration, foundational to roles in AI ops, trust & safety, and machine learning support

2025

Education

Work History