Nathaniel B.

Key Skills

Software

CloudFactory

CVAT

Remotasks

Top Subject Matter

Computer vision for autonomous driving

object recognition

and medical imaging.

Top Data Types

Image

Text

Video

Document

Top Task Types

Bounding Box

Emotion Recognition

Segmentation

Object Detection

Entity (NER) Classification

Freelancer Overview

Data Labeler, CVAT AI Specialist (05/2023 - 04/2025). Core strengths include CVAT, CloudFactory, and Remotasks. Education includes Bachelor of Arts, Laikipia University (2021). AI-training focus includes data types such as Image, Video, and Medical and labeling workflows including Object Detection, Entity (NER) Classification, and Bounding Box.

Labeling Experience

Data Labeler, CVAT AI Specialist (05/2023 - 04/2025)

CVATImageObject Detection

Labeled thousands of images and video frames for computer vision model training using CVAT and AI-assisted annotation tools. Created accurate annotations including bounding boxes, polygons, semantic segmentation, and keypoints. Performed quality assurance reviews to keep annotation accuracy consistently above 97%. • Annotated complex datasets for autonomous driving and object recognition use cases • Refined annotation guidelines with machine learning engineers to improve dataset consistency • Flagged edge cases to streamline workflows and reduce task turnaround time by 15% • Supported medical imaging-related annotation requirements

2023 - 2025

Data annotation specialist, CloudFactory (01/2022 - 04/2023)

CloudFactoryTextEntity (NER) Classification

Delivered large-scale labeling projects across text, images, and document data for AI/ML clients. Contributed to multi-stage pipelines where annotations supported OCR, NLP, and image recognition model development. Partnered with QA teams to audit batches against strict quality benchmarks (95%+ accuracy). • Applied task-specific annotation workflows for documents, images, and text • Supported OCR, NLP, and image recognition training pipelines • Trained and mentored junior labelers to reduce errors and improve performance • Managed deadlines and coordinated with distributed teams to deliver high-priority work

2022 - 2023

Freelance Data Labeler, Remotask (06/2021 - 12/2021)

RemotasksBounding Box

Freelanced as a data labeler annotating self-driving car datasets using Remotask and custom labeling software. Produced 2D/3D bounding box annotations, LiDAR point cloud labels, and image classification labels aligned to client requirements. Handled edge cases by escalating anomalies for guideline refinement and maintained high task acceptance rates (above 95%). • Annotated 2D/3D bounding boxes and image classification tasks • Labeled LiDAR point clouds for autonomous driving training data • Followed detailed guidelines to ensure consistency and precision • Escalated real-world anomalies to project leads and completed work on schedule

2021 - 2021

Education

Work History