Jake Jeffrey

Key Skills

Software

Roboflow

CVAT

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Computer Programming Coding

Data Collection

Emotion Recognition

Evaluation Rating

Fine Tuning

Land Cover Classification

Mapping

Object Detection

Point Key Point

Relationship

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I have a strong background in managing complex data workflows and ensuring quality control, with experience in auditing, compliance, and process optimization. My roles have required exceptional attention to detail, accuracy in documentation, and the ability to analyze and report on large sets of data, all of which translate well to data labeling and AI training data environments. I am adept at using new software tools, piloting process improvements, and training teams on new procedures. My experience includes conducting audits, managing sensitive data, and ensuring regulatory compliance, making me well-equipped to handle annotation tasks that demand precision and reliability. I am highly coachable, goal-driven, and excel at problem-solving, ensuring that data projects are completed efficiently and to high standards.

Labeling Experience

Self‑Guided Image Segmentation Project

RoboflowImageSegmentationObject Detection

Self‑directed image segmentation project using public sample datasets and online tutorials. Labeled objects and regions in images with polygons and pixel‑level masks to practice both instance and semantic segmentation across tools like Roboflow Annotate, CVAT, and Label Studio.

Self‑directed image segmentation project using public sample datasets and online tutorials. Labeled objects and regions in images with polygons and pixel‑level masks to practice both instance and semantic segmentation across tools like Roboflow Annotate, CVAT, and Label Studio.

2025 - 2025

AI Training & Data Labeling e‑Learning

Label StudioTextClassification

Self‑guided data labeling and AI training project using online tutorials and e‑learning resources. Practiced annotating images (classification, bounding boxes, and segmentation) and text/documents (classification and key‑field extraction) in tools such as Roboflow Annotate, Label Studio, and CVAT. Designed small practice datasets (everyday objects, simple financial documents) and created consistent labeling guidelines to ensure accuracy and reproducibility. Validated labels, corrected inconsistencies, and experimented with exporting annotations to JSON/YAML formats for use in basic model training and evaluation workflows.

Self‑guided data labeling and AI training project using online tutorials and e‑learning resources. Practiced annotating images (classification, bounding boxes, and segmentation) and text/documents (classification and key‑field extraction) in tools such as Roboflow Annotate, Label Studio, and CVAT. Designed small practice datasets (everyday objects, simple financial documents) and created consistent labeling guidelines to ensure accuracy and reproducibility. Validated labels, corrected inconsistencies, and experimented with exporting annotations to JSON/YAML formats for use in basic model training and evaluation workflows.

2025

Computer Vision Segmentation Practice Dataset

CVATImageSegmentation

Self‑directed image segmentation project using public sample datasets and online tutorials. Labeled objects and regions in images with polygons and pixel‑level masks to practice both instance and semantic segmentation across tools like Roboflow Annotate, CVAT, and Label Studio.

Self‑directed image segmentation project using public sample datasets and online tutorials. Labeled objects and regions in images with polygons and pixel‑level masks to practice both instance and semantic segmentation across tools like Roboflow Annotate, CVAT, and Label Studio.

2025

Education

Work History