Want to get hired at Taskify?

Medical Consultant

Taskify

HybridHybrid

Original Job Summary

About the Role

Taskify is inviting medical professionals and healthcare students to work remotely as a Medical Consultant. This position allows you to contribute to training cutting-edge medical AI models without interrupting your current clinical career or studies.

Who Can Apply

If you are a practicing or retired clinician, a licensed doctor (MD, DO, MBBS), a final-year medical or healthcare student, a nurse, allied health professional, or a medical educator, you qualify. Passion for clinical reasoning and patient care is essential.

What You’ll Do

  • Answer and review clinical questions for AI training.
  • Check AI-generated medical content for accuracy and relevance.
  • Analyze and rate AI outputs to identify gaps.
  • Share expert feedback to improve AI diagnostic reasoning.

What You Need

  • Good command of English (reading & writing).
  • Clinical or medical qualifications; students welcome.
  • Current or recent healthcare experience preferred.
  • Strong critical thinking and attention to detail.

Key skills/competency

  • Medical Expertise
  • Clinical Reasoning
  • AI Training
  • Content Review
  • Analysis
  • Attention to Detail
  • Freelance Work
  • Remote Collaboration
  • Healthcare Knowledge
  • Feedback Provision

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Research Taskify's culture: Explore mission and employee reviews online.
  • Customize your resume: Highlight clinical qualifications and AI exposure.
  • Emphasize relevant skills: Focus on clinical reasoning and analysis.
  • Prepare for interviews: Practice discussing remote work experiences.

📝 Interview Preparation Advice

Technical Preparation

Review current clinical protocols.
Familiarize with AI medical training tools.
Study medical case analyses.
Practice evaluating clinical content accuracy.

Behavioral Questions

Describe handling urgent feedback delivery.
Explain experience working in remote teams.
Detail managing multiple assignments simultaneously.
Share handling disagreements in feedback discussions.