Bianca Buttler

Key Skills

Software

CrowdSource

CVAT

Data Annotation Tech

Humanatic

Mercor

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Geospatial Tiled Imagery

Image

Text

Video

Top Label Types

Action Recognition

Bounding Box

Classification

Cuboid

Data Collection

Evaluation Rating

Fine Tuning

Land Cover Classification

Object Detection

Polygon

Prompt Response Writing SFT

Question Answering

Relationship

Segmentation

Freelancer Overview

I am an experienced AI training and NLP specialist with over 10 years of hands-on expertise in data annotation, labeling, and model optimization across diverse domains such as healthcare, finance, e-commerce, automotive, and technology. My background includes annotating and evaluating 50,000+ multimodal datasets (text, image, video) for Fortune 500 clients, developing prompt engineering strategies for LLMs, and refining AI models for improved accuracy and reduced bias. I am skilled in tools like Python, SQL, SuperAnnotate, CVAT, Power BI, and OpenAI APIs, and have a strong foundation in applied linguistics, sentiment analysis, named entity recognition, and computer vision. My collaborative approach and commitment to quality have contributed to successful AI deployments and high inter-annotator agreement scores, and I thrive in remote, cross-functional environments where attention to detail and continuous learning are valued.

Labeling Experience

Video Annotation for Autonomous Driving Systems

CVATVideoObject DetectionAction Recognition

Supported the development of AI systems for autonomous driving by labeling real-world street scenes captured from vehicle-mounted sensors. Tasks included identifying and labeling key road entities (e.g., vehicles, pedestrians, cyclists, traffic signs, road lines) in both video and 3D LiDAR point clouds.

Supported the development of AI systems for autonomous driving by labeling real-world street scenes captured from vehicle-mounted sensors. Tasks included identifying and labeling key road entities (e.g., vehicles, pedestrians, cyclists, traffic signs, road lines) in both video and 3D LiDAR point clouds.

2024 - 2024

Medical Imaging Annotation for Diagnostic AI Models

CVATImageBounding BoxPolygon

The project involved preparation of high-quality annotated datasets for machine learning models used in radiology diagnostics and clinical NLP tools. Tasks included bounding box and segmentation annotation of abnormalities in chest X-rays and scans, as well as tagging and classifying clinical note entities.

The project involved preparation of high-quality annotated datasets for machine learning models used in radiology diagnostics and clinical NLP tools. Tasks included bounding box and segmentation annotation of abnormalities in chest X-rays and scans, as well as tagging and classifying clinical note entities.

2023 - 2023

Education

Work History