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J

Joe Alvarado

Principal AI Data Specialist - RLHF Dataset Design & LLM Alignment

USA flag
Newport News, VA, Usa
$20.00/hrExpertData Annotation TechAppenMindrift

Key Skills

Software

Data Annotation TechData Annotation Tech
AppenAppen
MindriftMindrift
MercorMercor
Micro1
Scale AIScale AI

Top Subject Matter

Large Language Models (LLMs) and Multi-Modal AI

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

RLHF
Evaluation Rating
Prompt Response Writing SFT
Fine Tuning
Text Summarization
Question Answering
Text Generation

Freelancer Overview

Principal AI Data Specialist - RLHF Dataset Design & LLM Alignment. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Massachusetts Institute of Technology (2019) and Master of Science, Stanford University (2016). AI-training focus includes data types such as Text and labeling workflows including RLHF.

ExpertEnglish

Labeling Experience

Principal AI Data Specialist - RLHF Dataset Design & LLM Alignment

TextRLHF
As Principal AI Data Specialist at Anthropic, I designed and implemented reinforcement learning from human feedback (RLHF) reward models to enhance LLM performance. I engineered and curated high-dimensional datasets for model fine-tuning, bias mitigation, and red teaming for LLMs. Proprietary internal tools and advanced prompt engineering techniques were integral to the process.• Led mathematical modeling for RLHF to improve model truthfulness and logical reasoning• Statistically designed red teaming datasets to address bias in multi-modal AI systems• Developed Python libraries for processing, curating, and reviewing unstructured data for model training• Collaborated on prompt engineering workflows for semantic and logical analysis of model outputs

As Principal AI Data Specialist at Anthropic, I designed and implemented reinforcement learning from human feedback (RLHF) reward models to enhance LLM performance. I engineered and curated high-dimensional datasets for model fine-tuning, bias mitigation, and red teaming for LLMs. Proprietary internal tools and advanced prompt engineering techniques were integral to the process.• Led mathematical modeling for RLHF to improve model truthfulness and logical reasoning• Statistically designed red teaming datasets to address bias in multi-modal AI systems• Developed Python libraries for processing, curating, and reviewing unstructured data for model training• Collaborated on prompt engineering workflows for semantic and logical analysis of model outputs

2021 - 2025

Education

M

Massachusetts Institute of Technology

Doctor of Philosophy, Applied Mathematics and Statistics

Doctor of Philosophy
2016 - 2019
S

Stanford University

Master of Science, Data Science

Master of Science
2014 - 2016

Work History

A

Anthropic

Principal AI Data Specialist

San Francisco
2021 - 2025
G

Google

Senior Statistician and Data Scientist

Mountain View
2019 - 2021