Hare Dragon

Key Skills

Software

Mercor

Other

Appen

Top Subject Matter

Large Language Models

Conversational AI

Model Alignment

Top Data Types

Text

Image

Audio

Video

Top Task Types

Fine Tuning

Data Collection

Freelancer Overview

Generalist Reviewer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor, Other, and Appen. Education includes Bachelor of Fine Arts, Marywood University (2020) and Minor, SACI (2019). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

Generalist Reviewer

MercorTextFine Tuning

As a Generalist Reviewer at Mercor, I constructed and audited 'Golden Responses' for multi-turn AI dialogues to establish ground truth data. I served as a domain expert reviewer, validating data for accuracy, style adherence, and logical continuity within conversational threads. I developed response scaffolds to ensure constraint satisfaction, translating multiple turns into polished AI outputs. • Established and maintained ground truth/reference data for LLM training • Validated complex conversational AI data for quality and compliance • Enhanced logical continuity in multi-turn dialogues • Created professional, constraint-satisfying AI-generated responses

As a Generalist Reviewer at Mercor, I constructed and audited 'Golden Responses' for multi-turn AI dialogues to establish ground truth data. I served as a domain expert reviewer, validating data for accuracy, style adherence, and logical continuity within conversational threads. I developed response scaffolds to ensure constraint satisfaction, translating multiple turns into polished AI outputs. • Established and maintained ground truth/reference data for LLM training • Validated complex conversational AI data for quality and compliance • Enhanced logical continuity in multi-turn dialogues • Created professional, constraint-satisfying AI-generated responses

2026 - Present

AI Content & Quality Specialist

OtherText

As an AI Content & Quality Specialist at Alignerr, I developed evaluation rubrics and grading scales for assessing AI model alignment and RLHF tasks. I audited AI outputs for coherence and instruction following while creating adversarial prompts to test model boundaries. I translated high-level quality metrics into training data for reinforcement learning purposes. • Designed and applied specialized evaluation rubrics for LLMs • Audited language model output for complex reasoning and logical accuracy • Engineered adversarial prompts to probe AI limitations • Converted qualitative goals into actionable labeling/training datasets

As an AI Content & Quality Specialist at Alignerr, I developed evaluation rubrics and grading scales for assessing AI model alignment and RLHF tasks. I audited AI outputs for coherence and instruction following while creating adversarial prompts to test model boundaries. I translated high-level quality metrics into training data for reinforcement learning purposes. • Designed and applied specialized evaluation rubrics for LLMs • Audited language model output for complex reasoning and logical accuracy • Engineered adversarial prompts to probe AI limitations • Converted qualitative goals into actionable labeling/training datasets

2025 - Present

AI Training & Data Annotation Specialist

AppenImageData Collection

At Appen, I worked as an AI Training & Data Annotation Specialist, handling tasks that included labeling text, images, audio, and video. I assessed AI-generated outputs and content for quality, relevance, and usability, contributing to overall model performance improvements. My work supported data collection, software testing, and transcription to enhance system functionality. • Labeled multi-modal datasets (images, text, audio, video) • Evaluated and rated AI outputs for usability and accuracy • Performed transcription and data annotation for diverse projects • Contributed to AI training via user and search evaluation tasks

At Appen, I worked as an AI Training & Data Annotation Specialist, handling tasks that included labeling text, images, audio, and video. I assessed AI-generated outputs and content for quality, relevance, and usability, contributing to overall model performance improvements. My work supported data collection, software testing, and transcription to enhance system functionality. • Labeled multi-modal datasets (images, text, audio, video) • Evaluated and rated AI outputs for usability and accuracy • Performed transcription and data annotation for diverse projects • Contributed to AI training via user and search evaluation tasks

2021 - 2022

Education

Work History