Expert Data Annotator for Complex Engineering CT Scans (US Native)

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

We are seeking an elite, detail-oriented Data Annotator to join our team for a critical project involving the segmentation and classification of 2D battery slice images.

This is not a simple bounding box task. You will be working with complex, rule-based guidelines to produce highly accurate and consistent annotations that are crucial for training our machine learning models. We are looking for a meticulous professional who thrives on precision and can master a complex set of instructions.

Key Responsibilities:

You will be responsible for two primary annotation tasks on sets of CT scan images:

1. Core Segmentation & Buckling Classification:

Perform precise polygon segmentation of the battery "core" by identifying the interior boundary of the "first cathode wrap."

Apply specific geometric rules, such as identifying start/end points based on locally minimal distances, to define the segmentation boundary.

Accurately handle and annotate complex edge cases, including cathode tip bending, delamination, boundary discontinuities, and tapering, following detailed visual guides.

Ensure all segmentation masks are smooth, clean, and accurately follow the specified contours.

Classify each image for "cathode buckling" by identifying the presence of negative curvature on the cathode coil, while correctly ignoring delamination and anode buckling.

2. Overhang Segmentation:

Create distinct segmentation masks for "cathode" and "anode overhang" components.

Follow specific inclusion/exclusion rules, labeling only the overhangs that are adjacent to or between cathode segments.

Maintain a high degree of overlap and accuracy between related masks.

Leverage the sequential nature of the dataset by efficiently labeling the first image in a series, then copying and fine-tuning subsequent images for maximum productivity.

What We're Looking For (Required Skills):

Proven Expertise in Complex Segmentation: You must have extensive experience with intricate polygon/mask annotation. Please provide examples or detailed descriptions of past projects.

Meticulous Attention to Detail: The difference between a correct and incorrect annotation in this project is subtle. You must have an exceptional eye for detail and a commitment to precision.

Ability to Master Technical Guidelines: You must be able to read, fully comprehend, and meticulously apply a complex, rule-based instruction document with numerous edge cases.

Excellent Visual Acuity: Experience working with grayscale, low-contrast, or scientific/medical imagery is essential.

Efficiency and Reliability: You are self-motivated, can manage your time effectively to meet deadlines, and understand workflows designed to improve efficiency (like the copy/paste/refine method described).