Edelstein Shirley

Key Skills

Software

Mindrift

OneForma

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Data Collection

Fine Tuning

Mapping

Text Generation

Translation Localization

Freelancer Overview

Detail-oriented Data Annotation Specialist with 3+ years of experience working on large-scale AI training projects across transcription, translation, content labeling, and LLM data services. Skilled in reviewing, annotating, and interpreting high-volume datasets with high accuracy and consistency. Experienced in language data tasks across multiple domains, with strong attention to detail, the ability to follow complex guidelines, and a track record of delivering high-quality outputs within tight deadlines.

Labeling Experience

Data Annotation Specialist

TelusTextTranslation LocalizationFine Tuning

Scope: Supported large-scale AI and LLM training projects by annotating, reviewing, and verifying diverse text datasets for model improvement. Specific Data: Processed text, audio-to-text, multilingual content, and LLM prompt–response data across multiple task types. Tasks Performed: Completed text classification, transcription, translation, content tagging, LLM output evaluation, and QA correction. Project Size: Handled high-volume batches with thousands of data entries while meeting daily and weekly productivity targets. Quality Measures: Maintained 95%+ accuracy, followed strict guidelines, passed QA audits, ensured consistency, confidentiality, and on-time delivery.

Scope: Supported large-scale AI and LLM training projects by annotating, reviewing, and verifying diverse text datasets for model improvement. Specific Data: Processed text, audio-to-text, multilingual content, and LLM prompt–response data across multiple task types. Tasks Performed: Completed text classification, transcription, translation, content tagging, LLM output evaluation, and QA correction. Project Size: Handled high-volume batches with thousands of data entries while meeting daily and weekly productivity targets. Quality Measures: Maintained 95%+ accuracy, followed strict guidelines, passed QA audits, ensured consistency, confidentiality, and on-time delivery.

2024

map evaluator

OneformaImageQuestion AnsweringMapping

Scope: Worked on a large-scale AI training project focused on improving NLP and multilingual model performance through high-quality data annotation and QA review. Specific Data: Processed text and multilingual content, including structured and unstructured datasets used for model training and evaluation. Tasks Performed: Performed text classification, tagging, QA checks, error correction, and guideline enforcement across diverse datasets. Project Size: Handled high-volume batches involving thousands of data entries within a global, distributed project team. Quality Measures: Maintained 95%+ accuracy, passed regular QA audits, followed strict guidelines, and ensured consistency, data security, and timely delivery.

Scope: Worked on a large-scale AI training project focused on improving NLP and multilingual model performance through high-quality data annotation and QA review. Specific Data: Processed text and multilingual content, including structured and unstructured datasets used for model training and evaluation. Tasks Performed: Performed text classification, tagging, QA checks, error correction, and guideline enforcement across diverse datasets. Project Size: Handled high-volume batches involving thousands of data entries within a global, distributed project team. Quality Measures: Maintained 95%+ accuracy, passed regular QA audits, followed strict guidelines, and ensured consistency, data security, and timely delivery.

2024 - 2024

data annotator

MindriftImageTranslation LocalizationFine Tuning

As a Data Image Annotator on Mindrift, I worked on computer-vision training projects that required precise labeling, reviewing, and classification of visual datasets. The project involved annotating large volumes of images to help improve AI recognition, detection, and categorization models.Scope of the Project Preparing and labeling visual data for AI and machine-learning model training. Ensuring that all image annotations aligned with strict project guidelines and annotation frameworks. Supporting model improvement by providing high-quality training data that enhances accuracy and object understanding. Types of Data Processed Static images containing everyday objects, scenes, products, signage, human activity, and environmental elements. Visual datasets requiring object detection, bounding boxes, segmentation, classification, or attribute tagging (depending on the task phase). High-resolution images requiring careful analysis to ensure clean and precise annotations.

As a Data Image Annotator on Mindrift, I worked on computer-vision training projects that required precise labeling, reviewing, and classification of visual datasets. The project involved annotating large volumes of images to help improve AI recognition, detection, and categorization models.Scope of the Project Preparing and labeling visual data for AI and machine-learning model training. Ensuring that all image annotations aligned with strict project guidelines and annotation frameworks. Supporting model improvement by providing high-quality training data that enhances accuracy and object understanding. Types of Data Processed Static images containing everyday objects, scenes, products, signage, human activity, and environmental elements. Visual datasets requiring object detection, bounding boxes, segmentation, classification, or attribute tagging (depending on the task phase). High-resolution images requiring careful analysis to ensure clean and precise annotations.

2021 - 2023

Education

Work History