Rick Szgrick

Key Skills

Software

Appen

Top Subject Matter

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Top Data Types

Text

Top Label Types

RLHF

Text Summarization

Freelancer Overview

I am a Master’s graduate in Computer Science from The Hong Kong Polytechnic University with over 20 years of hands-on experience in AI and data annotation. Specializing in RLHF preference annotation, SFT corpus construction, and multimodal (video/3D) labeling, I have delivered high-quality data solutions for global LLM training projects. I maintain 98% accuracy in RLHF tasks, built 1,500+ SFT instruction corpora, and reduced data error rates to 1.8% through rigorous QA. Proficient in Python (pandas, numpy) and SQL, I am a remote-first specialist with advanced English (C1) proficiency, ready to contribute to complex AI training initiatives.

Labeling Experience

RLHF Preference Annotation for LLM Alignment

AppenTextText Summarization

Led end-to-end RLHF preference annotation for LLM alignment, focusing on text-based response ranking across finance, telecom, and e-commerce domains. Processed 800+ high-priority text data pairs, completing preference scoring, relevance labeling, and quality validation tasks. Implemented a Python-based quality assurance workflow to ensure annotation accuracy of 98%, strictly adhering to LLM training data standards. The annotated dataset supported client model iteration, reducing alignment optimization time by 25% and improving model response relevance by 30%.

Led end-to-end RLHF preference annotation for LLM alignment, focusing on text-based response ranking across finance, telecom, and e-commerce domains. Processed 800+ high-priority text data pairs, completing preference scoring, relevance labeling, and quality validation tasks. Implemented a Python-based quality assurance workflow to ensure annotation accuracy of 98%, strictly adhering to LLM training data standards. The annotated dataset supported client model iteration, reducing alignment optimization time by 25% and improving model response relevance by 30%.

2023

AI & Data Annotation Specialist (Freelance)

AppenTextRLHF

Served as a freelance AI & Data Annotation Specialist focused on RLHF preference annotation and SFT corpus construction for LLM alignment and training. Managed high-accuracy data annotation projects supporting global clients in AI development and model refinement. Led multimodal video and 3D data labeling, quality assurance, and end-to-end annotation processes across the finance, telecom, and e-commerce sectors. • Completed 800+ RLHF preference annotation pairs across 3 domains, achieving 98% accuracy. • Built SFT instruction tuning corpora with 1,500+ annotation tasks, ensuring 99% data standards compliance. • Labeled over 300 hours of video footage and 500+ 3D spatial datasets for perception model training. • Implemented QA protocols that reduced error rates to 1.8% using Python and statistical methods.

Served as a freelance AI & Data Annotation Specialist focused on RLHF preference annotation and SFT corpus construction for LLM alignment and training. Managed high-accuracy data annotation projects supporting global clients in AI development and model refinement. Led multimodal video and 3D data labeling, quality assurance, and end-to-end annotation processes across the finance, telecom, and e-commerce sectors. • Completed 800+ RLHF preference annotation pairs across 3 domains, achieving 98% accuracy. • Built SFT instruction tuning corpora with 1,500+ annotation tasks, ensuring 99% data standards compliance. • Labeled over 300 hours of video footage and 500+ 3D spatial datasets for perception model training. • Implemented QA protocols that reduced error rates to 1.8% using Python and statistical methods.

2023

Education

Work History