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Aj Valdez

Aj Valdez

Data Annotation Specialist - AI and Machine Learning

CANADA flag
Toronto, Canada
$14.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText
VideoVideo

Top Label Types

Bounding Box
Question Answering
Evaluation Rating
Prompt Response Writing SFT
Transcription

Freelancer Overview

I am a Computer Science graduate with hands-on experience in data annotation and quality review for AI training data, specifically supporting reinforcement learning from human feedback (RLHF) pipelines for large language models. My work involved annotating and evaluating multimodal data, including images and text, performing preference ranking, and ensuring strict adherence to structured guidelines for high-quality, consistent results. I am skilled at identifying ambiguities and edge cases, flagging issues to improve dataset reliability, and maintaining strong attention to detail while meeting productivity benchmarks. My technical background, combined with excellent time management and computer literacy, enables me to contribute effectively to data labeling and AI training projects.

IntermediateEnglish

Labeling Experience

Data Annotation & Quality Reviewer

OtherImageBounding BoxQuestion Answering
Annotated and evaluated multimodal data (images and text) to support reinforcement learning from human feedback (RLHF) pipelines for large language models. • Performed preference ranking and quality review tasks, ensuring annotations followed strict, structured guidelines with high accuracy and consistency. • Identified ambiguities, edge cases, and low-quality inputs, flagging issues to improve dataset reliability and model training outcomes. • Maintained high attention to detail across fast, short-form tasks while meeting productivity and quality benchmarks.

Annotated and evaluated multimodal data (images and text) to support reinforcement learning from human feedback (RLHF) pipelines for large language models. • Performed preference ranking and quality review tasks, ensuring annotations followed strict, structured guidelines with high accuracy and consistency. • Identified ambiguities, edge cases, and low-quality inputs, flagging issues to improve dataset reliability and model training outcomes. • Maintained high attention to detail across fast, short-form tasks while meeting productivity and quality benchmarks.

2025

Education

Y

York University

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2025

Work History

S

Shoppers Drug Mart

Merchandiser

Toronto
2022 - Present