Mohammed B.

Key Skills

Software

Don't disclose

Top Subject Matter

Medical imaging (radiology): CT

Mri Domain Expertise

Ultrasound Domain Expertise

Top Data Types

Image

Top Task Types

Diagnosis

Freelancer Overview

Chief Resident – Radiology (Remote AI annotation-ready imaging interpretation). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Doctor of Medicine, An-Najah National University (2018) and Internal Medicine Elective, Jordan Hospital (2016). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Diagnosis.

Labeling Experience

Chief Resident – Radiology (Remote AI annotation-ready imaging interpretation)

Don't discloseDiagnosis

Provided daily expert radiology interpretations by reviewing CT, MRI, and ultrasound studies and producing structured diagnostic reports suitable for AI training workflows. Applied systematic clinical reasoning to ensure consistent, reproducible outputs for downstream labeling and model validation. Led quality assurance rounds and case conferences to improve annotation accuracy and interpretive consistency across cases. • Interpreted high-volume emergency, inpatient, and outpatient imaging • Supervised and taught junior residents on interpretation standards • Participated in structured departmental case conferences for QA • Generated unambiguous, report-ready diagnostic language

2024 - Present

Radiology Resident (multi-modal diagnostic interpretation for AI-ready structured outputs)

Don't discloseDiagnosis

Interpreted complex multi-modality diagnostic imaging (CT, MRI, X-ray, ultrasound, and fluoroscopy) and generated detailed radiology reports emphasizing structured reasoning. Produced clear, reproducible diagnostic documentation aligned with the type of outputs needed for supervised labeling, evaluation, and clinical validation. Built expertise in DICOM/PACS-based radiology workflows through continuous daily imaging review. • Worked across chest, abdomen, musculoskeletal, and neurological case types • Produced structured reports that support labeling-quality standards • Performed modality-specific interpretation across CT/MRI/X-ray/ultrasound/fluoroscopy • Developed reliable documentation habits for AI dataset creation

2022 - Present

Medical Officer – COVID-19 Response Team (imaging-informed clinical interpretation)

Diagnosis

Contributed to high-pressure clinical decision-making for COVID-19 response where imaging findings informed real-time patient management. Translated diagnostic observations from imaging into actionable clinical guidance under operational constraints. Supported imaging-informed workflows within a large public health setting, reinforcing structured interpretation practices. • Applied imaging findings to time-sensitive care decisions • Operated in high-volume environments requiring consistent clinical judgments • Collaborated within clinical teams supporting imaging-based management • Maintained decision rigor relevant to labeling reliability

2020 - 2022

Education

Work History