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May T.

May T.

Freelance Data Annotator - General Image Annotation

USA flagUsa

Key Skills

Software

CVATCVAT
Label StudioLabel Studio
SuperviselySupervisely

Top Subject Matter

Object Recognition
Dialect Audio Transcription
Financial Sentiment Analysis & Content Moderation

Top Data Types

ImageImage
AudioAudio
TextText
3D Sensor3D Sensor

Top Task Types

ClassificationClassification
TranscriptionTranscription
SegmentationSegmentation

Freelancer Overview

Freelance Data Annotator - General Image Annotation. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Label Studio, and Supervisely. Education includes Bachelor of Science, Haikou University of Economics (2017). AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Classification, Transcription, and Segmentation.

Labeling Experience

Supervisely

Freelance Data Annotator - Sentiment and Content Moderation

SuperviselySuperviselyTextTextClassificationClassification

I managed text content moderation and sentiment annotation for social media data sets. My primary focus was to assess, label, and categorize user-generated content, identifying subtle or policy-violating language. I used annotation tools to maintain high sensitivity toward nuanced expressions and financial jargon. • Labeled sentiment for FX and crypto social media discussions using a 5-level scale • Filtered sensitive content and policy violations for platform compliance • Employed expertise in financial indicators for accurate annotation • Tools utilized included Label Studio and Supervisely

2021 - Present
Label Studio

Freelance Data Annotator - Audio Transcription

Label StudioLabel StudioAudioAudioTranscriptionTranscription

I completed extensive audio transcription projects, focusing on dialect audio with a high degree of accuracy. The work included both standard and nuanced speech annotation, ensuring full comprehension and detail retention. Continuous exposure to diverse audio sources helped me refine my transcription expertise. • Transcribed over 200 hours of dialect audio at 97% accuracy • Ensured precise capture of punctuation and special characters • Consistently met deadlines for large audio transcription batches • Leveraged tools such as Label Studio and CVAT

2021 - Present
CVAT

Freelance Data Annotator - General Image Annotation

CVATCVATImageImageClassificationClassification

As a freelance data annotator, I handled large-scale image categorization tasks across multiple platforms. I performed high-volume labeling, including image recognition, bounding boxes, and quality assurance with consistently low rejection rates. My experience includes maintaining very high accuracy and understanding detailed annotation guidelines. • Labeled 50,000+ images with 2D bounding boxes for object recognition (animals, vehicles, etc.) • Managed daily batches exceeding 1,000 data entries • Utilized tools such as CVAT, LabelImg, Label Studio, and Supervisely • Maintained 98%+ accuracy and delivered high throughput

2021 - Present
Supervisely

Senior Annotation Team Lead - L4 Autonomous Driving LiDAR Annotation

SuperviselySupervisely3D Sensor3D SensorSegmentationSegmentation

As Senior Annotation Team Lead, I led semantic segmentation on LiDAR point cloud data for L4 autonomous driving. Focus areas included pixel-level precision for objects in challenging urban and extreme weather scenarios. I coordinated QA processes and developed SOPs to streamline labeling and minimize errors for freelance teams. • Processed complex 3D LiDAR fusion data under varying conditions (rain, night) • Utilized Python scripting to resolve ambiguous labeling cases • Authored SOP guides, reducing team error rates by 25% • Main tools: Label Studio, Supervisely, and Python

2023 - 2024

Education

H

Haikou University of Economics

Bachelor of Science, Information Management

Bachelor of Science
2013 - 2017

Work History

A

AI Tech Co., Ltd.

Senior Annotation Team Lead

Location not specified
2023 - 2024