Longxi L.

Key Skills

Software

Label Studio

LabelImg

Img Lab

Other

Datasaur

Top Subject Matter

Natural Image Analysis and Sports Motion Tracking

Industrial Visual Recognition (Pork Classification)

Medical Image Analysis (Ocular and Orbital Segmentation)

Top Data Types

Image

Text

Audio

Top Task Types

Segmentation

Classification

Freelancer Overview

Image Segmentation and Motion Tracking Annotator. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Doctor of Philosophy, N/A (2020). AI-training focus includes data types such as Image, Medical, and DICOM and labeling workflows including Segmentation and Classification.

Labeling Experience

Physiological Signal Annotation Specialist

AudioSegmentation

Labeled and processed multimodal physiological signals, including ECG, PPG, and SCG for denoising and generative model training. Focused on synchronized annotation for multimodal alignment and signal reconstruction. Conducted quality assessments to maintain high standard of labeled biomedical signal data. • Annotated audio signals for noise suppression and signal recovery. • Coordinated multimodal alignment and labeling protocols. • Evaluated data integrity for signal processing experiments. • Assisted in creating generative modeling datasets for physiological signals.

Not specified

Super-Resolution Image Annotation Specialist

ImageClassification

Labeled and annotated image data for natural image super-resolution using a DINOv3+ adversarial framework. Generated and curated datasets to support perceptual-quality optimization in generative modeling tasks. Assisted in training and validation cycles with accurate metadata annotation for high-resolution restoration objectives. • Annotated super-resolution training images for generative AI models. • Supported quality assessment and validation processes for labeled data. • Implemented feedback for iterative improvement of annotation protocols. • Enhanced data diversity for robust super-resolution model training.

Not specified

Text Data Annotation Specialist (Email Classification)

TextClassification

Processed and labeled email content for natural language processing pipelines including spam detection and classification. Built and annotated datasets via content recognition, data cleaning, and manual review of textual data. Ensured labeled data supported training of classification models for email intelligence tasks. • Selected and extracted relevant emails for labeling and annotation. • Classified email content for downstream spam detection tasks. • Maintained clarity and consistency in content annotation workflows. • Assisted in building end-to-end pipelines for NLP labeling operations.

Not specified

Medical Image Segmentation Annotator

Segmentation

Annotated ocular muscles and orbital structures in medical images for thyroid-associated ophthalmopathy studies. Conducted segmentation-oriented labeling with a focus on accuracy for clinically constrained imaging tasks. Provided annotated datasets to advance diagnostic algorithms in biomedical research projects. • Created detailed segmentation masks for ocular structures in medical imaging. • Adhered to clinical guidelines and precision annotation standards. • Collaborated with clinicians and researchers for domain-specific validation. • Enabled research in medical AI diagnostics with high-quality labels.

Not specified

Industrial Image Classification Annotator

ImageClassification

Labeled and classified industrial images for pork recognition and tracking in slaughterhouse environments. Focused on dataset creation, annotation, and quality validation tailored for industrial computer vision workflows. Supported model deployment by generating reliable, consistent labels under real-world production constraints. • Developed annotation protocols for industrial image categorization. • Validated and maintained high-quality labeled datasets for algorithm benchmarking. • Incorporated feedback from engineering teams for continuous data improvement. • Ensured data annotation met practical deployment standards.

Not specified

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Education

Work History