Radiology Expert

Weekday AI

Job Overview

Location

Canada

Salary

CAD 180 - 400 hourly

Employment Type

Contract

Work Arrangement

Remote

Sector

Healthcare & Medical

Experience Level

Senior (5-8 years)

Application Deadline

July 9, 2026

About the Company

Weekday AI is at the forefront of innovation, backed by Y Combinator and recognized as a Product Hunt #1 product of the day. The company is dedicated to revolutionizing the hiring landscape by developing advanced AI-driven solutions. They have successfully built India's largest database of white-collar talent, complemented by sophisticated outreach tools designed to achieve industry-leading response rates. Weekday AI is committed to leveraging artificial intelligence to create more efficient and effective recruitment processes, pushing the boundaries of talent acquisition technology. Their mission is to redefine how organizations connect with top-tier professionals, ensuring a seamless and highly responsive hiring experience.

Job Description

Weekday AI is seeking highly skilled Radiology Experts to contribute to the advancement of next-generation artificial intelligence in diagnostic imaging. This pivotal remote contract role involves leveraging your clinical expertise to design intricate medical scenarios and rigorously evaluate AI model outputs against established evidence-based standards. You will play a crucial part in refining AI's reasoning capabilities within the radiology domain.

We welcome a diverse range of specialists, including Diagnostic Radiology attendings, Interventional Radiology, Neuroradiology, Body/Abdominal Imaging, Musculoskeletal Radiology, Breast Imaging, Pediatric Radiology professionals, and final-year Radiology residents or fellows. This is an exceptional opportunity to shape the future of medical diagnostics through innovative AI development.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

Diagnostic Imaging InterpretationDifferential GenerationFollow-up RecommendationsACR Criteria ApplicationStructured ReportingClinical Scenario DesignAI Model Output EvaluationEvidence-based StandardsBoard Certification (Medical)Active Medical License

Key Responsibilities

  • Design clinically realistic prompts and scenarios drawn from your Radiology practice (image interpretation, differential generation, follow-up recommendations, ACR criteria application, structured reporting).
  • Write "golden" reference responses at attending-level quality.
  • Grade AI-generated responses against structured rubrics.
  • Provide written feedback the research team uses to improve model behavior.
  • Participate in onboarding office hours and specialty calibration sessions.

Qualifications

  • For Attending Physicians: Must be board-certified with a current, active, unrestricted medical license.
  • For Resident Physicians: Must be in the final year of residency (recent graduates must be board-eligible).
  • For Fellows: Must be board-certified/board-eligible in primary specialty and have a current, active, unrestricted medical license.

Benefits & Perks

  • Flexible, 100% asynchronous remote work.
  • Weekly payments.
  • Ongoing engagement with monthly reviews.
  • Opportunity to shape next-generation AI in diagnostic imaging.

How to Apply

Join Our Communities

The healthcare technology sector, particularly in AI-driven diagnostics, is experiencing rapid expansion, with Canada emerging as a key innovation hub. This role offers a unique opportunity to significantly impact the development of cutting-edge AI for diagnostic imaging. You will be instrumental in designing complex clinical scenarios, evaluating AI model outputs against evidence-based standards, and providing critical feedback for algorithm refinement. Your expertise in image interpretation, differential generation, and structured reporting will directly enhance the AI's diagnostic accuracy and clinical utility, driving substantial improvements in patient care outcomes and operational efficiency within healthcare systems.

Posted Date

June 25, 2026