Taraa Harper

Key Skills

Software

Data Annotation Tech

Mercor

Mindrift

Remotasks

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Video

Top Task Types

Action Recognition

Classification

Emotion Recognition

Entity Ner Classification

Question Answering

RLHF

Freelancer Overview

I am a data-driven digital marketing specialist with hands-on experience managing complex data attribution, analytics, and automation across B2B SaaS, e-commerce, and healthcare domains. My background includes building and optimizing full-funnel tracking systems using tools like GA4, Google Tag Manager, Looker Studio, and HubSpot, ensuring high data integrity and precise measurement. I am passionate about leveraging Generative AI and synthetic data to create fair, effective data solutions. My work has involved rigorous A/B testing, data annotation for campaign optimization, and the implementation of automated reporting systems—skills that directly translate to high-quality data labeling and AI training data projects. I thrive in environments where attention to detail, process improvement, and cross-functional collaboration are essential to delivering accurate, actionable data.

Labeling Experience

Lead Data Labeling Associate

MercorDocumentClassification

As Lead Data Labeling Associate at Handshake, I managed a team to clean and annotate career-related datasets, directly improving job recommendation systems. I developed internal labeling rubrics and resolved edge cases in user-generated data, increasing model precision. I also monitored labeling pipelines to ensure quality and throughput for resume parsing and classification. • Led a team in annotating and classifying job-related documents and resumes. • Designed labeling guidelines for skill-matching and resume parsing. • Identified and addressed edge cases to improve algorithm efficiency. • Maintained oversight of data quality processes within annotation workflows.

As Lead Data Labeling Associate at Handshake, I managed a team to clean and annotate career-related datasets, directly improving job recommendation systems. I developed internal labeling rubrics and resolved edge cases in user-generated data, increasing model precision. I also monitored labeling pipelines to ensure quality and throughput for resume parsing and classification. • Led a team in annotating and classifying job-related documents and resumes. • Designed labeling guidelines for skill-matching and resume parsing. • Identified and addressed edge cases to improve algorithm efficiency. • Maintained oversight of data quality processes within annotation workflows.

2025

Core AI Data Contributor

Data Annotation TechTextEntity Ner Classification

At DataAnnotation.tech, I contributed to creating gold-standard training data for large language models through long-form creative writing and technical coding tasks. I categorized and tagged large text datasets for sentiment, intent, and named entity recognition and participated in multimodal image-to-text and video annotation projects. My work included fact-checking complex claims for model reliability. • Authored and labeled high-quality textual data to support LLM improvement. • Categorized data for sentiment, intent, and entities using established protocols. • Collaborated on multimodal annotation including image-to-text and action recognition in video. • Performed external fact-checking for enhanced LLM accuracy.

At DataAnnotation.tech, I contributed to creating gold-standard training data for large language models through long-form creative writing and technical coding tasks. I categorized and tagged large text datasets for sentiment, intent, and named entity recognition and participated in multimodal image-to-text and video annotation projects. My work included fact-checking complex claims for model reliability. • Authored and labeled high-quality textual data to support LLM improvement. • Categorized data for sentiment, intent, and entities using established protocols. • Collaborated on multimodal annotation including image-to-text and action recognition in video. • Performed external fact-checking for enhanced LLM accuracy.

2025

AI Tutor & Editor

MindriftTextRLHF

As an AI Tutor & Editor at Mindrift AI, I performed advanced RLHF tasks focusing on ranking AI model outputs for coding, math, and creative writing prompts. My work included editing and rewriting AI responses for persona adherence and factual accuracy, as well as conducting 'Red Teaming' to identify safety issues. I consistently maintained an 'Expert' status through high-quality audit results. • Ranked and evaluated model-generated textual outputs for accuracy and safety. • Performed extensive editing on AI responses, ensuring compliance with strict guidelines. • Led red teaming efforts to uncover and mitigate harmful model behaviors. • Achieved a 98.5% average quality score on platform evaluations.

As an AI Tutor & Editor at Mindrift AI, I performed advanced RLHF tasks focusing on ranking AI model outputs for coding, math, and creative writing prompts. My work included editing and rewriting AI responses for persona adherence and factual accuracy, as well as conducting 'Red Teaming' to identify safety issues. I consistently maintained an 'Expert' status through high-quality audit results. • Ranked and evaluated model-generated textual outputs for accuracy and safety. • Performed extensive editing on AI responses, ensuring compliance with strict guidelines. • Led red teaming efforts to uncover and mitigate harmful model behaviors. • Achieved a 98.5% average quality score on platform evaluations.

2024

Education

Work History