Angela Helm

Key Skills

Software

Remotasks

Doccano

CVAT

Labelbox

Roboflow

Scale AI

Label Studio

LabelImg

Top Subject Matter

Autonomous Vehicles / Computer Vision

General AI/NLP/Computer Vision

NLP/Text Analysis

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Polygon

Segmentation

Point Key Point

Object Detection

Transcription

Question Answering

Freelancer Overview

Data Annotation Specialist. Core strengths include Remotasks, Labelbox, and Doccano. Education includes Bachelor of Science, George Mason University (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Classification, and Evaluation.

Labeling Experience

Freelance Data Annotation Specialist

LabelboxTextClassification

As a Freelance Data Annotation Specialist, I provided accurate labeling for text, image, audio, and video data to support machine learning tasks. I conducted data validation and implemented structured annotation techniques to improve model reliability. I maintained high standards of precision and productivity in a remote environment. • Identified and escalated edge cases for improved dataset quality • Performed validation to eliminate inconsistency • Optimized workflow for large-scale annotation projects • Collaborated with clients to meet varied project needs

As a Freelance Data Annotation Specialist, I provided accurate labeling for text, image, audio, and video data to support machine learning tasks. I conducted data validation and implemented structured annotation techniques to improve model reliability. I maintained high standards of precision and productivity in a remote environment. • Identified and escalated edge cases for improved dataset quality • Performed validation to eliminate inconsistency • Optimized workflow for large-scale annotation projects • Collaborated with clients to meet varied project needs

2022 - Present

Data Annotaton Specialist

ImagePolygon

Contributed to computer vision and AI model development by accurately annotating and labeling large-scale image datasets. Tasks included drawing bounding boxes, performing semantic segmentation, and classifying objects such as vehicles, pedestrians, road signs, and environmental features. Ensured high precision and consistency while handling complex scenarios like occlusions, varying lighting conditions, and dense scenes, strictly following annotation guidelines to produce high-quality data for training and improving machine learning models.

Contributed to computer vision and AI model development by accurately annotating and labeling large-scale image datasets. Tasks included drawing bounding boxes, performing semantic segmentation, and classifying objects such as vehicles, pedestrians, road signs, and environmental features. Ensured high precision and consistency while handling complex scenarios like occlusions, varying lighting conditions, and dense scenes, strictly following annotation guidelines to produce high-quality data for training and improving machine learning models.

2025 - 2026

Data Anotation Expert

AudioTranscription

Contributed to the development of AI-powered speech recognition and audio classification systems by accurately annotating and labeling diverse audio datasets. This included transcribing speech across different accents and recording conditions, tagging elements such as speech, background noise, music, and silence, and identifying speaker intent and emotions for NLP tasks. Maintained high accuracy while handling challenging cases like overlapping dialogue, low-quality recordings, and mixed-language audio, ensuring consistency and strict adherence to annotation guidelines to improve overall model performance.

Contributed to the development of AI-powered speech recognition and audio classification systems by accurately annotating and labeling diverse audio datasets. This included transcribing speech across different accents and recording conditions, tagging elements such as speech, background noise, music, and silence, and identifying speaker intent and emotions for NLP tasks. Maintained high accuracy while handling challenging cases like overlapping dialogue, low-quality recordings, and mixed-language audio, ensuring consistency and strict adherence to annotation guidelines to improve overall model performance.

2025 - 2026

AI Data Reviewer / Content Analyst

DoccanoText

As an AI Data Reviewer / Content Analyst, I was responsible for reviewing and correcting annotated datasets for quality and compliance. I performed accuracy checks and provided process feedback to improve NLP model training. My work focused on optimizing dataset consistency and enhancing annotation guidelines. • Reviewed text annotations for sentiment and classification accuracy • Provided annotation feedback and quality reports • Ensured datasets were guideline-compliant • Supported process improvement for annotation teams

As an AI Data Reviewer / Content Analyst, I was responsible for reviewing and correcting annotated datasets for quality and compliance. I performed accuracy checks and provided process feedback to improve NLP model training. My work focused on optimizing dataset consistency and enhancing annotation guidelines. • Reviewed text annotations for sentiment and classification accuracy • Provided annotation feedback and quality reports • Ensured datasets were guideline-compliant • Supported process improvement for annotation teams

2022 - 2022

Data Annotation Specialist

RemotasksVideoSegmentation

As a Data Annotation Specialist at Remotasks, I labeled images for autonomous vehicle datasets, focusing on road scenes, vehicles, pedestrians, signs, and lane markings. I applied bounding box annotation, segmentation, and object tracking to train self-driving AI models. I consistently maintained high accuracy scores while following strict project guidelines. • Annotated complex scenarios such as occlusions and motion blur • Reviewed and corrected peer annotations for quality • Performed supplementary NLP tasks, including sentiment analysis • Ensured compliance with evolving project requirements

As a Data Annotation Specialist at Remotasks, I labeled images for autonomous vehicle datasets, focusing on road scenes, vehicles, pedestrians, signs, and lane markings. I applied bounding box annotation, segmentation, and object tracking to train self-driving AI models. I consistently maintained high accuracy scores while following strict project guidelines. • Annotated complex scenarios such as occlusions and motion blur • Reviewed and corrected peer annotations for quality • Performed supplementary NLP tasks, including sentiment analysis • Ensured compliance with evolving project requirements

2021 - 2022

Education

Work History