Want to get hired at Taskify?
Medical Experts
Taskify
HybridHybrid
Original Job Summary
About the Role
Are you a medical professional or student in 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 expertise in training AI systems without leaving clinical practice behind.
Who Should Apply
- Practising or retired clinicians
- Licensed medical doctors (MD, DO, MBBS)
- Medical and healthcare students nearing graduation
- Nurses, allied health professionals, and medical educators
- Professionals 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 qualification
- Clinical experience, preferably current or recent practice
- Detail-oriented with strong analytical and critical thinking skills
Compensation & Location
Earn up to $11,000 per month, with compensation ranging from $6,000 to $11,000 monthly (paid weekly). This is a fully remote position available to eligible applicants in the US, EU, UK, NZ, Canada, Australia, and Puerto Rico.
Key skills/competency
- Clinical expertise
- AI training
- Medical knowledge
- Analytical skills
- Attention to detail
- Critical thinking
- Remote work
- Healthcare
- Communication
- Feedback
How to Get Hired at Taskify
🎯 Tips for Getting Hired
- Customize your resume: Emphasize relevant clinical expertise and AI training.
- Highlight your skills: List medical qualifications and analytical abilities.
- Research Taskify: Understand their mission and recent projects.
- Prepare for interviews: Practice discussing clinical scenarios and feedback.
📝 Interview Preparation Advice
Technical Preparation
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Review AI training methodologies.
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Brush up on clinical data analysis.
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Study medical content accuracy techniques.
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Practice using analytical tools.
Behavioral Questions
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Describe problem-solving in clinical scenarios.
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Explain handling feedback and corrections.
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Discuss teamwork in remote settings.
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Share experience managing flexible hours.