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Rajave Lee

Rajave Lee

AI Trainer / Data Annotator

USA flagN/A, Usa
$18.00/hrExpertAppenClickworkerData Annotation Tech

Key Skills

Software

AppenAppen
ClickworkerClickworker
Data Annotation TechData Annotation Tech
MindriftMindrift

Top Subject Matter

AI/ML Model Training
Large Language Models
Computer Vision

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Point/Key PointPoint/Key Point
PolylinePolyline
CuboidCuboid
Object DetectionObject Detection

Freelancer Overview

AI Trainer / Data Annotator. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes High School Diploma, N/A (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

ExpertEnglish

Labeling Experience

AI Trainer / Data Annotator

Text
As an AI Trainer and Data Annotator, I contributed to the training and fine-tuning of large language models and computer vision systems. I labeled and annotated various datasets and evaluated AI-generated outputs for accuracy and safety. I worked collaboratively with quality assurance teams to refine guidelines and resolve labeling challenges. • Labeled text and image data used for LLM and computer vision model training • Evaluated model outputs for quality, tone, and accuracy across multiple domains • Maintained high accuracy while achieving throughput targets • Contributed to guideline improvement and edge case resolution with QA teams

As an AI Trainer and Data Annotator, I contributed to the training and fine-tuning of large language models and computer vision systems. I labeled and annotated various datasets and evaluated AI-generated outputs for accuracy and safety. I worked collaboratively with quality assurance teams to refine guidelines and resolve labeling challenges. • Labeled text and image data used for LLM and computer vision model training • Evaluated model outputs for quality, tone, and accuracy across multiple domains • Maintained high accuracy while achieving throughput targets • Contributed to guideline improvement and edge case resolution with QA teams

2023 - Present

Education

N

N/A

High School Diploma, General Education

High School Diploma
2021 - 2025

Work History

V

Various Clients

Data Entry Specialist

N/A
2022 - Present
F

Freelance

Junior Software Developer

N/A
2022 - Present