Sylvia

Key Skills

Software

CVAT

Labelbox

Appen

Clickworker

iMerit

Lionbridge

OneForma

Telus

Toloka

Top Subject Matter

AI training data for machine learning models

AI-enabled video platforms

Audio data for speech recognition AI models

Top Data Types

Text

Video

Audio

Image

Document

Top Task Types

Entity (NER) Classification

Classification

Transcription

Bounding Box

Segmentation

Text Generation

Question Answering

Text Summarization

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Object Detection

Freelancer Overview

Data Annotation Specialist (Freelance). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Labelbox. Education includes Bachelor of Science, N/A (2020). AI-training focus includes data types such as Text, Video, and Audio and labeling workflows including Entity (NER) Classification, Classification, and Transcription.

Labeling Experience

Data Annotation Specialist (Freelance)

CVATImageBounding Box

I annotated images with bounding boxes and polygons to facilitate computer vision model training. I was responsible for ensuring detailed and consistent image annotations under specified guidelines. My work contributed to the enhancement of AI object detection and image recognition systems. • Annotated images with bounding boxes and polygons. • Implemented precise image segmentation. • Maintained accurate labeling per guidelines. • Contributed to computer vision dataset quality and usability.

2022 - 2022

Data Annotation Specialist (Freelance)

CVATAudioTranscription

I transcribed audio content and evaluated the accuracy of speech-to-text data for use in machine learning models. I ensured the precision and reliability of annotated audio data for downstream AI tasks. I participated in the quality control process for audio transcription and labeling. • Annotated and transcribed audio content. • Conducted quality checks on transcribed data. • Maintained high accuracy standards for annotated audio datasets. • Provided input for continuous improvement of AI models relying on audio data.

2022 - 2022

Data Annotation Specialist (Freelance)

CVATVideoClassification

In this role, I evaluated videos across various platforms to gauge user engagement and preferences. I tagged and categorized video content accurately to aid AI-driven content recommendation systems. I contributed to the overall performance and accuracy of video-based AI models. • Tagged and classified video content. • Evaluated video content for user engagement and preferences. • Ensured data consistency and quality through regular checks. • Provided feedback on content categorization for system improvements.

2022 - 2022

Data Annotation Specialist (Freelance)

CVATTextEntity (NER) Classification

As a Data Annotation Specialist, I was responsible for analyzing and labeling textual data. I provided accurately categorized and annotated information to support machine learning model development. I validated model outputs and ensured that the training data met high quality standards. • Identified and labeled named entities in text. • Assessed content to meet quality standards and user intent. • Contributed to machine learning model reliability. • Maintained accuracy and consistency throughout the annotation process.

2022 - 2022

Education

Work History