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Paul Cliff

AI Training & Evaluation - Project Diamond (Handshake AI)

USA flagSan Francisco, Usa
$10.00/hrExpertAws SagemakerAnno MageAppen

Key Skills

Software

AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
AppenAppen
ClickworkerClickworker
CrowdFlowerCrowdFlower
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech

Top Subject Matter

AI response evaluation and annotation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

Cuboid
RLHF
Red Teaming
Transcription
Fine Tuning
Text Summarization

Freelancer Overview

AI Training & Evaluation - Project Diamond (Handshake AI). Brings 7+ 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, MIT (2022) and Master of Science, MIT (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

ExpertEnglish

Labeling Experience

AI Training & Evaluation - Project Diamond (Handshake AI)

Text
In Project Diamond (Handshake AI), I annotated and evaluated AI responses to ensure quality and compliance with project guidelines. I consistently delivered structured feedback focused on improving model accuracy and overall user experience. Detailed analysis was performed to identify response inconsistencies and support continuous model improvement. • Evaluated and rated AI-generated text outputs • Provided structured feedback for model enhancements • Ensured labeling met project standards and guidelines • Reviewed and annotated responses for consistency and quality

In Project Diamond (Handshake AI), I annotated and evaluated AI responses to ensure quality and compliance with project guidelines. I consistently delivered structured feedback focused on improving model accuracy and overall user experience. Detailed analysis was performed to identify response inconsistencies and support continuous model improvement. • Evaluated and rated AI-generated text outputs • Provided structured feedback for model enhancements • Ensured labeling met project standards and guidelines • Reviewed and annotated responses for consistency and quality

2023 - Present

Education

M

MIT

Master of Science, Software Engineering

Master of Science
2020 - 2022
M

MIT

Bachelor of Science, Software Engineering

Bachelor of Science
2016 - 2020

Work History

R

Remote

AI & Software Engineer

San Francisco
2023 - Present
R

Remote

Machine Learning Engineer

San Francisco
2022 - 2023