Karle

Key Skills

Software

Other

Top Subject Matter

LLM Output Evaluation and RLHF

LLM Output Evaluation and Data Annotation

Legal Services & Contract Review

Top Data Types

Text

Document

Audio

Top Task Types

RLHF

Bounding Box

Text Generation

Text Summarization

Fine-tuning

Question Answering

Transcription

Evaluation/Rating

Object Detection

Red Teaming

Cuboid

Point/Key Point

Entity (NER) Classification

Classification

Segmentation

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Senior Content Quality Lead — AI & Editorial Evaluation. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Arts, University of Texas at Austin (2016). AI-training focus includes data types such as Text and labeling workflows including RLHF.

Labeling Experience

Senior Content Quality Lead — AI & Editorial Evaluation

OtherTextRLHF

As Senior Content Quality Lead, I evaluated and ranked over 200 AI-generated and human-authored text outputs weekly for AI training purposes. I produced structured preference data for large language model (LLM) training pipelines by applying RLHF principles and quality rubrics. I developed and implemented annotation guidelines and editorial rubrics to standardize assessment quality. • Evaluated and scored LLM and human text responses for accuracy, coherence, and instruction-following.• Identified and annotated subtle reasoning, factual, and structural flaws for dataset improvement.• Produced training data that increased model content quality metrics by 25%.• Provided high-impact feedback to cross-functional teams using remote annotation tools.

2021 - Present

Freelance AI Content Evaluator & Writing Specialist

OtherTextRLHF

As a Freelance AI Content Evaluator & Writing Specialist, I audited large volumes of AI-generated and human-authored text for errors and inconsistencies. I created original written responses and training examples aligned with annotation guidelines for machine learning workflows. I maintained a 99.9% accuracy rate across all evaluated datasets while managing 35–40 hours per week of annotation and evaluation projects. • Evaluated datasets for hallucinations, factual inaccuracies, and logical errors.• Produced model-readable training data under strict deadline requirements.• Applied advanced linguistic insights to simplify technical language for AI training.• Delivered ongoing high-accuracy data annotation to global machine learning clients.

2018 - 2020

Education

Work History