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C

Chloe E.

AI Data Annotation Specialist & QA Lead

USA flagN/A, Usa

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI
CVATCVAT
SuperviselySupervisely
Other
AppenAppen
LionbridgeLionbridge

Top Subject Matter

Computer Vision
Image Classification
Speech Recognition

Top Data Types

ImageImage
AudioAudio
VideoVideo
TextText

Top Task Types

Bounding BoxBounding Box
TranscriptionTranscription
TrackingTracking
Text GenerationText Generation

Freelancer Overview

AI Data Annotation Specialist & QA Lead. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and CVAT. Education includes Bachelor of Science, Self‑Directed & Online Programs (2023) and High School Diploma, N/A (2021). AI-training focus includes data types such as Image, Audio, and Video and labeling workflows including Bounding Box, Transcription, and Tracking.

Labeling Experience

Programmer & AI Content Creator

OtherTextTextText GenerationText Generation

I cleaned, normalized, and preprocessed more than 10,000 text entries for AI development use cases. Tasks included annotation format conversion among COCO, YOLO, and JSON, leveraging Python and pandas to automate the workflow. Contributed to an 85% reduction in time through efficient data preprocessing pipelines. • Developed scripts for multi-format label annotation conversion. • Automated text preprocessing with Python and pandas. • Ensured annotation consistency and compatibility for AI pipelines. • Integrated REST APIs to streamline dataset preparation.

2022 - Present
Appen

Data Labeller & Quality Rater

AppenAppenTextText

As a Data Labeller & Quality Rater on global rating projects, I evaluated search relevance, POI data, ads, and visual content for datasets. My work maintained high inter-rater reliability and consistency across thousands of rating tasks, supporting model fine-tuning. Comprehensive rationale documentation was provided for each labeling decision. • Rated search results, POIs, and ads for relevance and quality. • Performed image/video quality assessment and descriptive accuracy checks. • Consistently applied complex labeling rubrics. • Authored detailed justifications for every assessment to guide model updates.

2022 - Present
Scale AI

AI Data Annotation Specialist & QA Lead

Scale AIScale AITextText

I performed over 600 weekly LLM response evaluations, reviewing AI-generated responses for relevance, factuality, and safety. Tasks included side-by-side pairwise comparison and structured feedback to enhance large language model quality. Maintained rigorous inter-rater reliability throughout the ongoing project. • Rated LLM-generated text for safety, factual correctness, and user relevance. • Conducted pairwise comparison tasks to assess model improvement. • Documented comprehensive feedback for model fine-tuning and calibration. • Engaged in weekly QA review cycles supporting continuous improvement.

2020 - Present
CVAT

AI Data Annotation Specialist & QA Lead

CVATCVATVideoVideoTrackingTracking

I labeled over 600 hours of video data using frame tracking and action recognition techniques. My tasks required detailed frame-by-frame annotation for training video classification and tracking models. Quality control procedures reduced error rates in delivered datasets by 28%. • Applied frame tracking and action classification in video labeling. • Ensured consistency and reliability in each annotated sequence. • Contributed to significant error reduction through rigorous QA. • Utilized leading labeling platforms supporting video annotation.

2020 - Present
Appen

AI Data Annotation Specialist & QA Lead

AppenAppenAudioAudioTranscriptionTranscription

I conducted large-scale audio transcription projects, processing more than 2,500 hours of English audio data. Duties included speaker identification, sentiment labeling, and precise timestamp alignment for training speech and sentiment models. Adhered to stringent accuracy standards to maintain dataset integrity. • Transcribed, segmented, and labeled audio files for AI training. • Provided speaker ID and sentiment annotation. • Maintained high consistency and accuracy in transcription deliverables. • Collaborated with QA processes to calibrate audio annotation guidelines.

2020 - Present

Education

N

N/A

High School Diploma, General Education

High School Diploma
2017 - 2021
S

Self‑Directed & Online Programs

Bachelor of Science, Software Engineering

Bachelor of Science
2023

Work History

A

Appen

Search Quality Evaluator

N/A
2016 - 2018