Clinical Specialist
@ Taskify

Hybrid
$102,000
Hybrid
Part Time
Posted 8 hours ago

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XXXXXXXXX XXXXXXXXX XXXXXXXXXX****** @taskify.com
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Job Details

About the Clinical Specialist Role

Are you a medical professional or student with a passion for advancing AI in medicine? Taskify is seeking clinicians to train AI models while maintaining clinical practice. This freelance role offers flexible hours and global impact in medical technology innovation.

Key Responsibilities

  • Formulate and answer complex clinical questions for AI training datasets.
  • Review AI-generated medical content for clinical accuracy and relevance.
  • Analyse and rate AI outputs to identify improvements and gaps.
  • Contribute expert feedback to enhance AI diagnostic and reasoning capabilities.
  • Collaborate flexibly across projects based on expertise and performance.

Who Should Apply

Licensed medical doctors (MD, DO, MBBS), nurses, allied health professionals, medical educators, practising or retired clinicians, and medical/healthcare students nearing graduation. Note: This role is strictly for medical professionals, not for software engineers or data scientists.

Qualifications

  • Accredited medical degree or relevant clinical qualification.
  • Clinical experience, preferably current or recent practice.
  • Strong analytical and critical thinking skills with attention to detail.
  • Fluent in English reading and writing.

Key skills/competency

  • Medical
  • AI Training
  • Clinical Analysis
  • Content Review
  • Data Evaluation
  • Analytical
  • Feedback
  • Collaboration
  • Flexible
  • Detail-Oriented
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How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Research Taskify's culture: Review their mission, values, and news.
  • Customize your resume: Emphasize clinical expertise and AI training.
  • Tailor your cover letter: Highlight relevant healthcare experience.
  • Prepare for interviews: Practice discussing clinical analytics and feedback.

📝 Interview Preparation Advice

Technical Preparation

Review basic AI model concepts.
Study clinical data evaluation methods.
Practice analyzing AI outputs.
Familiarize with digital review tools.

Behavioral Questions

Describe a challenging clinical decision.
Explain feedback process for AI improvements.
Discuss collaboration in remote teams.
Share experience managing flexible schedules.

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