Bianca Peralta

Key Skills

Software

Prodigy

Labelbox

CVAT

Doccano

Top Subject Matter

Speech Recognition / Audio AI

Computer Vision / Image AI

Computer Vision / Video AI

Top Data Types

Audio

Image

Video

Text

Document

Top Task Types

Transcription

Bounding Box

Segmentation

Entity Ner Classification

Freelancer Overview

Audio Data Annotator (Babel Audio, Silencio, Voices). Core strengths include Prodigy, Labelbox, and CVAT. Education includes Associate Degree, Northern Virginia Community College (2014). AI-training focus includes data types such as Audio, Image, and Video and labeling workflows including Transcription, Bounding Box, and Segmentation.

Labeling Experience

NLP Data Annotation Specialist (Mercor)

DoccanoTextEntity Ner Classification

I carried out text annotation assignments such as entity recognition (NER), sentiment analysis, intent classification, and text categorization. I supported data preparation for natural language processing and large language model training. Tools like Doccano and Roboflow were used for annotation and quality assurance tasks. • Annotated entities, categories, and sentiment in text datasets • Assisted in NLP dataset QA and validation processes • Collaborated with AI teams for tagging schema development • Supported preparation of labeled data for LLM training and evaluation

I carried out text annotation assignments such as entity recognition (NER), sentiment analysis, intent classification, and text categorization. I supported data preparation for natural language processing and large language model training. Tools like Doccano and Roboflow were used for annotation and quality assurance tasks. • Annotated entities, categories, and sentiment in text datasets • Assisted in NLP dataset QA and validation processes • Collaborated with AI teams for tagging schema development • Supported preparation of labeled data for LLM training and evaluation

2022 - Present

Video Annotation Specialist (Scale AI)

CVATVideoSegmentation

My work as a video annotator involved video frame-by-frame object tracking, segmentation, and event labeling for AI model training. Responsibilities included semantic segmentation and quality assurance of video datasets. I utilized CVAT and Scale AI internal tools to annotate video objects under stringent QA standards. • Conducted frame-by-frame video labeling, tracking, and segmentation • Validated video datasets for accuracy against annotation guidelines • Used annotation platforms to manage large batches and data workload • Ensured delivery of production-ready datasets for training computer vision models

My work as a video annotator involved video frame-by-frame object tracking, segmentation, and event labeling for AI model training. Responsibilities included semantic segmentation and quality assurance of video datasets. I utilized CVAT and Scale AI internal tools to annotate video objects under stringent QA standards. • Conducted frame-by-frame video labeling, tracking, and segmentation • Validated video datasets for accuracy against annotation guidelines • Used annotation platforms to manage large batches and data workload • Ensured delivery of production-ready datasets for training computer vision models

2022 - Present

Image Data Annotation Specialist (Scale AI, Mercor)

LabelboxImageBounding Box

I performed image annotation for object detection, bounding box placement, and image classification for computer vision models. My role included dataset QA, validation, and collaboration with project managers across distributed teams. Tools such as Labelbox, Scale AI, and CVAT were used for detailed annotation work. • Executed high-volume image classification and bounding box annotation • Reviewed and validated dataset labeling for machine learning pipeline reliability • Partnered with AI teams to resolve dataset issues and maintain QC benchmarks • Delivered annotation projects for Scale AI using advanced web platforms

I performed image annotation for object detection, bounding box placement, and image classification for computer vision models. My role included dataset QA, validation, and collaboration with project managers across distributed teams. Tools such as Labelbox, Scale AI, and CVAT were used for detailed annotation work. • Executed high-volume image classification and bounding box annotation • Reviewed and validated dataset labeling for machine learning pipeline reliability • Partnered with AI teams to resolve dataset issues and maintain QC benchmarks • Delivered annotation projects for Scale AI using advanced web platforms

2022 - Present

Audio Data Annotator (Babel Audio, Silencio, Voices)

ProdigyAudioTranscription

As an audio annotator, I managed speech transcription, phoneme tagging, and speaker labeling for large-scale AI datasets. My work supported training pipelines for speech recognition and natural language processing models. Projects required high precision and extensive quality assurance for audio annotations. • Conducted transcription and meta-tagging of audio input across multiple domains • Applied speaker identification, segmentation, and event labeling techniques • Used Prodigy, internal tools, and Slack for collaboration and workflow oversight • Validated and cleaned audio data to ensure utility for modeling

As an audio annotator, I managed speech transcription, phoneme tagging, and speaker labeling for large-scale AI datasets. My work supported training pipelines for speech recognition and natural language processing models. Projects required high precision and extensive quality assurance for audio annotations. • Conducted transcription and meta-tagging of audio input across multiple domains • Applied speaker identification, segmentation, and event labeling techniques • Used Prodigy, internal tools, and Slack for collaboration and workflow oversight • Validated and cleaned audio data to ensure utility for modeling

2022 - Present

Education

Work History