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Rachel Gubin

Rachel Gubin

hands-on experience labeling data for AI systems

USA flagWoodbury, NY , Usa
$25.00/hrEntry LevelData Annotation TechLabelboxMercor

Key Skills

Software

Data Annotation TechData Annotation Tech
LabelboxLabelbox
MercorMercor
MindriftMindrift
RemotasksRemotasks
Other
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Audio RecordingAudio Recording
ClassificationClassification
Emotion RecognitionEmotion Recognition
Evaluation/RatingEvaluation/Rating
Object DetectionObject Detection

Freelancer Overview

I have hands-on experience in AI data labeling and model training, working with platforms such as Labelbox, Neevo, and other annotation tools to create high-quality datasets for machine learning systems. My work has included labeling text, image, and behavioral data, ensuring precision, consistency, and adherence to project-specific taxonomies. I’ve developed a strong understanding of data integrity, bias mitigation, and quality assurance, which are essential for building reliable AI models. What sets me apart is my attention to detail and ability to balance speed with accuracy, as well as my familiarity with collaborative labeling workflows and quality review processes. I take pride in contributing to the development of AI systems that are not only data-driven but also ethically sound and context-aware.

Entry LevelEnglish

Labeling Experience

Labelbox

“SFT prompt V2”

LabelboxAudioEvaluation Rating
Record an audio sample using a provided script. The script will include specific audio conditions (e.g., background noise, unclear speech, emotion). This is a Multi-turn project. After you record and save your first turn, you will be presented with a second turn to record. Try to continue any specified background noise or manner of speaking from the first turn.

Record an audio sample using a provided script. The script will include specific audio conditions (e.g., background noise, unclear speech, emotion). This is a Multi-turn project. After you record and save your first turn, you will be presented with a second turn to record. Try to continue any specified background noise or manner of speaking from the first turn.

2025

American English - Select Which Recording You Prefer

OtherAudioEmotion RecognitionEvaluation Rating
Evaluate two voices and select which one you prefer.

Evaluate two voices and select which one you prefer.

2025

Education

U

University of Pittsburgh

Bachelor of Science, Business Administration; Marketing

Bachelor of Science
1996 - 2000

Work History

R

Rachel Gubin Affiliate Consulting

Affiliate Marketing Consultant

New York
2013 - Present
S

Stockn'Go

Director of Affiliate Marketing

New York
2011 - 2013