At a Glance
- Tasks: Train AI models with your medical expertise while maintaining clinical practice.
- Company: Join a visionary healthcare tech team shaping the future of medicine.
- Benefits: Earn up to $11,000/month with flexible hours and weekly pay.
- Why this job: Make a global impact on medical technology innovation from the comfort of your home.
- Qualifications: Medical professionals or students with relevant qualifications and clinical experience.
- Other info: Perfect for those seeking a freelance role with excellent work-life balance.
The predicted salary is between 5000 - 9000 Β£ per month.
Medical Specialist (Part Time, WFH, Flexible Hours)
We\βre Hiring Medical Specialists (For Training Of AI Models) | Earn up to $11,000/Month
Location: Fully Remote (Flexible Hours)
Eligible Regions: US, EU, UK, NZ, Canada, Australia, Puerto Rico
About the Role:
Are you a medical professional or student of MBBS / Nursing / BDS / BPT / Allied Health? Join a visionary healthcare technology team shaping the future of AI in medicine.
We seek talented individuals to apply expertise in training AI systems without leaving clinical practice behind. This freelance role offers flexible hours and the opportunity to impact medical technology innovation globally.
Who Should Apply: Eligible if meeting one of the options below
- 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
- Analyse 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 qualification or medical qualifications
- Clinical experience, preferably current or recent practice
- Detail-oriented with strong analytical and critical thinking skills
Seniority level: Not Applicable
Employment type: Part-time
Job function: Health Care Provider, Research, and Education
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Medical Specialist (Part Time, WFH, Flexible Hours) employer: Taskify
Contact Detail:
Taskify Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Medical Specialist (Part Time, WFH, Flexible Hours)
β¨Tip Number 1
Network like a pro! Reach out to fellow medical professionals and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
β¨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills and experience. Join relevant groups and engage with content to get noticed by potential employers.
β¨Tip Number 3
Prepare for virtual interviews! Since this role is remote, practice answering common interview questions on camera. Make sure your background is tidy and your tech is working smoothly to make a great impression.
β¨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows you're keen and makes it easier for us to connect with you about this exciting opportunity.
We think you need these skills to ace Medical Specialist (Part Time, WFH, Flexible Hours)
Some tips for your application π«‘
Show Off Your Qualifications: Make sure to highlight your relevant medical qualifications and experience in your application. We want to see how your background aligns with the role, so donβt hold back on showcasing your skills!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your expertise can contribute to training AI models in healthcare. We love seeing candidates who take the time to connect their experience with what weβre looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless itβs relevant, and make sure your passion for the role shines through!
Apply Through Our Website: Donβt forget to submit your application through our website! Itβs the best way for us to receive your details and ensures youβre considered for the role. Plus, itβs super easy to do!
How to prepare for a job interview at Taskify
β¨Know Your Stuff
Make sure you brush up on your medical knowledge and recent advancements in AI in healthcare. Being able to discuss clinical questions and AI training datasets confidently will show that you're not just a candidate, but a valuable asset.
β¨Showcase Your Experience
Prepare to share specific examples from your clinical practice or studies that highlight your analytical skills and attention to detail. Think about times when you've had to review or critique medical content, as this will resonate well with the role.
β¨Ask Smart Questions
Come prepared with insightful questions about the company's vision for AI in medicine. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
β¨Be Yourself
While professionalism is key, donβt forget to let your personality shine through. The team is looking for someone who fits well with their culture, so being authentic can make a big difference in how they perceive you.