Esther K.

Key Skills

Software

Sama

Labelbox

CVAT

Scale AI

Label Studio

Remotasks

Toloka

Mindrift

Other

Roboflow

Top Subject Matter

General AI/ML Data Annotation for Computer Vision and NLP

Computer Vision (image)

Natural Language Processing (text)

Top Data Types

Image

3D Sensor

Text

Document

Audio

Video

Top Task Types

Classification

Segmentation

Object Detection

Transcription

Cuboid

Polygon

Bounding Box

Entity (NER) Classification

Point/Key Point

Freelancer Overview

Data Annotator Specialist. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks, Toloka, and CVAT. Education includes Diploma in Automotive Engineering, N/A (2024) and Bachelor of Science, N/A (2024). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Segmentation, Classification, and Object Detection.

Labeling Experience

Autonomous Vehicle Data Annotator

Scale AI3D SensorClassification

On various Autonomous Vehicle Annotation Projects, I annotated vehicles, pedestrians, and road objects for use in safety-critical AI applications. I worked to improve detection accuracy through comprehensive and precise object labeling. I collaborated closely with other project stakeholders to optimize the annotation process. • Labeled multiple object classes in real-world driving scenarios • Supported enhancement of AI detection model performance • Maintained rigorous quality and compliance standards • Adapted workflows to dynamic project requirements

2024 - Present

3D LiDAR Annotation Specialist (AVRide Project)

Other3D SensorSegmentationCuboid

As a specialist in the AVRide 3D LiDAR Annotation Project, I performed advanced segmentation and cuboid annotation of 3D sensor data for autonomous driving applications. I delivered highly accurate labeled datasets for machine learning system training. My focus was on maintaining precision and detailed object annotation throughout the process. • Executed complex 3D segmentation and cuboid labeling • Ensured high-precision data for sensor-driven AI models • Followed strict annotation guidelines and objectives • Supported data pipeline improvements for AI projects

2024 - Present

Biometric Data Annotator (Worldcoin IRIS)

RemotasksTextBounding BoxSegmentation

As a Data Annotator Specialist, I handled annotation of text, image, audio, video, and 3D point cloud data to support AI/ML development. I worked across multiple platforms delivering high-accuracy labeling and quality control. I improved annotation workflows by providing feedback and collaborating with global teams. • Performed high-volume data labeling across Remotasks, Toloka, CVAT, and Mindrift. • Maintained up to 99% annotation accuracy through stringent QA. • Validated and refined data to project specifications. • Communicated updates and workflow improvements to clients and team members.

2023 - Present

Transcription & Segmentation Specialist (Freelance)

TolokaAudioTranscriptionSegmentation

I provided freelance transcription, segmentation, and annotation services for audio data projects. My work included English ↔ French transcription and audio segmentation at scale. I used multiple platforms to deliver accurate audio labels for AI datasets. • Performed platform-based segmentation and transcription tasks. • Ensured high linguistic and segment accuracy. • Managed multilingual content for language AI use cases. • Delivered outputs within client deadlines.

2021 - Present

Associate (Data QA & Annotation)

SamaImageClassification

As an Associate at SamaSource, I performed data cleaning, validation, and quality assurance for AI training datasets. I developed test cases, analyzed annotation outputs, and optimized workflows for efficiency. I supported automation testing and ensured data quality compliance at all stages. • Performed comprehensive data validation and QA • Analyzed model accuracy to iteratively improve datasets • Maintained annotation quality metrics and project reports • Ensured best practices in all data labeling workflows

2019 - Present

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Education

Work History