Martha N.

Key Skills

Software

Appen

CVAT

Dataloop

iMerit

Labelbox

Label Studio

Mindrift

Remotasks

SuperAnnotate

Toloka

Telus

Internal/Proprietary Tooling

Scale AI

Top Subject Matter

Audio and Video Annotation: Labeling and categorizing audio and video data to train models for various applications. Video Object Tracking: Tracking objects within videos to provide data for motion analysis and object detection models. Voice Activity Annotation: Identifying and annotating segments of audio where voice activity is present which includes recognizing the start and end time. Listening Target: Annotating audio data to identify specific sounds or speech targets.

Bounding Boxes: Creating bounding boxes around objects in images and videos for object detection models. Polygon Annotation: Outlining objects within images to train models for image segmentation and object recognition. Semantic Segmentation: Annotating images to differentiate various regions and objects within a scene. Point and Line Annotation: Annotating key points and lines in images for models that require detailed geometric data.

Large Language Model (LLM) Training: Preparing and annotating text data for training large-scale language models. Sewage Classification: Classifying and annotating images and videos of sewage systems for infrastructure analysis. Webpage Extraction Tasks and Data collection: Extracting relevant information from web pages and working on computer vision tasks to improve data extraction and analysis. Classifying, Tagging, and Categorizing Data: Ensuring that data is appropriately labeled and organized for effective machine learning model training.

Top Data Types

Audio

Image

Video

Top Task Types

Action Recognition

Bounding Box

Classification

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

I am an experienced data annotator and Machine Learning Quality Assurance Analyst with a strong background in managing and processing high-volume data annotation projects. With over three years in the field, I have developed a robust skill set in various annotation techniques, including key point annotation, semantic segmentation, voice activity segmentation, polygon, bounding boxes, body segmentation, and video object tracking. My expertise extends to working with industry-standard tools like Labelbox, SuperAnnotate, CVAT, and in-house annotation platforms, ensuring precision and efficiency in all tasks. Key highlights of my career include leading a team in a pioneering Augmented Reality/Virtual Reality project, validating outputs of machine learning models, and contributing to the development of accurate AI training datasets. My proficiency in SQL, and cloud platforms such as AWS and Google Cloud, coupled with my ability to use AI tools like ChatGPT and QuillBot etc. for enhancing data annotation processes, sets me apart. I am dedicated to maintaining high-quality standards and constantly improving workflows to deliver exceptional results in machine learning and data science projects.

Labeling Experience

Augmented Reality/Virtual Reality project, Reality Lab and Computer Vision Projects

MindriftTextClassificationQuestion Answering

-Pioneering of a Augmented Reality/Virtual Reality project from the pilot phase to completion. -Providing accurate answers to AI questions. -Utilization of AI tools. -Evaluating the factuality, relevance and accuracy of the prompt. -Extracting relevant information from web pages and working on computer vision tasks to improve data extraction and analysis. -Condense long documents into concise summaries while retaining the essential information. generate Grammarly correct, coherent, concise and contextually relevant text, making them useful for tasks such as writing articles. -Creating dialogue for virtual assistants. -Classifying, Tagging, and Categorizing Data: Ensuring that data is appropriately labelled and organized for effective machine learning model training. -Validating outputs of the models. Identifying common patterns in datasets.

2023 - 2024

Augmented Reality, Virtual Reality project, Reality Lab and Computer Vision Projects

Internal/Proprietary ToolingImageBounding BoxSegmentation

-Pioneering of a Augmented Reality/Virtual Reality project from the pilot phase to completion. -Guideline Adherence, prioritizing high-quality, on-time deliveries while maintaining consistency in accuracy, quality, and speed. -Labelling, Identification and categorizing named entities in picture, audio, video, text and specific sounds. -Assessing fantastical prompts to determine the quality, accuracy, deformity, and distortions of pictures in relation to the prompts. -Validating outputs of the models. Identifying common patterns in datasets.

2020 - 2024

Augmented Reality/Virtual Reality project Reality Lab and Computer Vision Projects

Internal/Proprietary ToolingAudioSegmentationTracking

-Annotating audio data to identify specific sounds or speech targets. -Identifying and annotating segments of audio where voice activity is present which includes recognizing the start and end time. -Annotating audio data to identify specific sounds or speech targets. -Accuracy: Ensuring that the transcribed text accurately represents the spoken words, including proper grammar, punctuation, and context. -Speaker Identification: Differentiating between multiple speakers in a conversation or interview. -Timestamping: Adding time markers to indicate when each part of the speech occurred in the recording, which is particularly useful for video and legal transcripts. -Formatting: Organizing the text in a readable format, often including headings, paragraphs, and speaker labels.

2021 - 2023

Augmented Reality/Virtual Reality project Reality Lab and Computer Vision Projects

DataloopVideoObject DetectionAction Recognition

-Inspecting footage and Categorize activities. -Tracking objects within videos to provide data for motion analysis and object detection models. -Labelling and categorizing video data to train models for various applications. -Identifying and annotating segments of actions in voice activity is present which includes recognizing the start and end time. -Emotion recognition -Classifying and annotating images and videos of sewage systems for infrastructure analysis.

2020 - 2022

Education

Work History