Consultant Radiologist - Med AI Projects

AI Trainer Jobs; United States; Remote; USD 39,000 - 52,000; Part time

Job summary

AI Trainer Jobs is seeking Certified/Licensed Radiologists to join our remote team as consultants for AI data annotation projects. You will annotate and validate medical imaging datasets and provide clinical insights to improve AI models.

The role requires 3+ years of radiology experience, proficiency in diagnostic imaging, and the ability to work independently in a remote setup. This is an independent contractor opportunity with flexible hours.

Qualifications

• Certified/Licensed Radiologist practicing in India.
• Minimum 3 years of clinical radiology experience.
• Strong knowledge of diagnostic imaging and interpretation.
• Experience in Chest, Musculoskeletal, or Cardiothoracic imaging preferred.
• Ability to work independently in remote environment and use digital platforms.

Responsibilities

• Annotate and validate medical imaging datasets (X-ray, CT, MRI).
• Identify and label radiological abnormalities and findings.
• Provide measurements, classifications, and insights per guidelines.
• Review AI-generated annotations for accuracy and consistency.
• Perform quality assurance to meet medical and project standards.
• Apply radiology expertise to train and evaluate AI models.
• Collaborate remotely with project, annotation, and quality teams.
• Maintain high accuracy, consistency, and attention to detail.
• Follow project-specific annotation guidelines and data security rules.

Skills

Quality assurance

Remote working

Communication skills

Attention to detail

Chest/Musculoskeletal imaging

Radiology interpretation

Digital platforms

Education

Certified/Licensed Radiologist

3+ years radiology experience

Tools

Online platforms

Job description

Type: Independent Contractor (Scholar) · Pay: $33/hour · Language: English · Experience: 1+ years post qualification · Duration: Flexible, 15-20 hrs/week · Department: Operations · Location: India

We are looking for Certified/Licensed Radiologists in India to join our team of medical experts and contribute their clinical expertise to the development of next-generation AI solutions in healthcare.

As a Consultant Radiologist, you will work on AI data annotation and quality review projects involving medical imaging datasets. Your expertise will help train, validate, and improve AI models designed to support advancements in medical imaging and healthcare.

This is a remote, project-based opportunity with flexible working hours, making it suitable for practicing radiologists looking to contribute to healthcare innovation alongside their existing professional commitments

Responsibilities

• Key Responsibilities
• Annotate and validate medical imaging datasets, including X-rays, CT scans, and MRI studies.
• Identify and accurately label radiological abnormalities and clinical findings.
• Provide relevant measurements, classifications, and diagnostic insights as required by project guidelines.
• Review AI-generated annotations and identify inaccuracies or inconsistencies.
• Perform quality assurance reviews to ensure annotations meet defined medical and project standards.
• Apply clinical judgment and radiological expertise to support the development and evaluation of AI models.
• Collaborate remotely with project, annotation, and quality teams through secure digital platforms.
• Maintain a high level of accuracy, consistency, and attention to detail across assigned tasks.
• Follow project-specific annotation guidelines, quality standards, and data security requirements.

Requirements

• Required Qualifications
• Certified/Licensed Radiologist practicing in India.
• Minimum 3 years of clinical experience in Radiology.
• Strong knowledge of diagnostic imaging and interpretation.
• Experience in Chest, Musculoskeletal, or Cardiothoracic imaging is preferred.
• Ability to accurately identify and interpret relevant radiological findings.
• Comfortable working with digital platforms and online tools.
• Good communication skills and the ability to work independently in a remote environment.
• Strong attention to detail and commitment to maintaining clinical accuracy.