Healthcare Consultant
@ Taskify

Hybrid
$132,000
Hybrid
Part Time
Posted 21 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @taskify.com
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Job Details

About the Role

Are you a medical professional or student of MBBS, Nursing, BDS, BPT, or Allied Health? Join Taskify's visionary healthcare technology team shaping the future of AI in medicine. This freelance role allows you to apply your clinical expertise to train AI systems while continuing your clinical practice. Enjoy flexible hours and the opportunity to impact medical technology innovation on a global scale.

Who Should Apply

Candidates eligible include practising or retired clinicians, licensed medical doctors (MD, DO, MBBS), medical and healthcare students nearing graduation, nurses, allied health professionals, and medical educators dedicated to clinical reasoning and patient care excellence.

Key Responsibilities

  • Formulate and answer clinical questions for AI training datasets.
  • Review AI-generated medical content for clinical accuracy and relevance.
  • Analyze and rate AI outputs to identify improvements and gaps.
  • Contribute expert feedback to enhance AI diagnostic and reasoning capabilities.

Qualifications

  • Fluent in English (reading and writing).
  • Relevant clinical or medical qualifications.
  • Clinical experience, preferably current or recent practice.
  • Detail-oriented with strong analytical and critical thinking skills.

Key skills/competency

  • Healthcare
  • Consulting
  • AI
  • Clinical reasoning
  • Medical accuracy
  • Data analysis
  • Feedback
  • Detail-oriented
  • Analytical
  • Technology

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your CV with relevant clinical and AI skills.
  • Highlight relevant experience: Emphasize clinical practice and training expertise.
  • Research Taskify: Review their mission and technological initiatives.
  • Prepare for interviews: Be ready to discuss clinical case studies and AI applications.

📝 Interview Preparation Advice

Technical Preparation

Review AI model basics.
Study clinical data analysis techniques.
Examine medical content evaluation methods.
Practice case-based scenario analysis.

Behavioral Questions

Describe handling feedback under pressure.
Explain teamwork in clinical settings.
Discuss conflict resolution during projects.
Share adaptability in fast-paced environments.

Frequently Asked Questions