At a Glance
- Tasks: Annotate and validate clinical data to train AI models in healthcare.
- Company: Join a forward-thinking company revolutionising healthcare with AI.
- Benefits: Earn $100-$200/hr, work remotely, and enjoy flexible hours.
- Why this job: Make a real difference in healthcare by shaping AI technology.
- Qualifications: Must be a licensed healthcare provider with advanced clinical expertise.
- Other info: Collaborate with diverse teams in a dynamic remote environment.
The predicted salary is between 13 - 16 Β£ per hour.
Position: Healthcare & Clinical Expert β AI Trainer
Type: Hourly contract
Compensation: $100 - $200/hr
Location: Remote
Commitment: 10 to 40 hours per week
Role Responsibilities
- Annotate, review, and validate clinical data to train healthcare AI models with high accuracy and regulatory compliance.
- Apply deep clinical expertise to guide AI learning across complex medical and patient care scenarios.
- Collaborate with product, engineering, and data science teams to improve healthcare AI systems and workflows.
- Develop and maintain clinical guidelines, protocols, and standards for AI model training and deployment.
- Contribute to knowledge transfer initiatives and continuous improvement of clinical documentation practices.
- Communicate complex clinical insights clearly to both technical and non-technical stakeholders.
- Monitor healthcare regulations, clinical trends, and emerging technologies to inform AI development strategies.
Requirements
- Strong professional experience as a licensed healthcare provider or clinical expert.
- Advanced clinical degree such as MD, DO, NP, PA, PharmD, or equivalent.
- Strong hands-on experience in clinical practice with a deep understanding of healthcare workflows and patient care.
- Demonstrated expertise in healthcare IT systems and electronic health record platforms.
- Solid background in clinical documentation, charting, coding, and regulatory compliance.
- Excellent written and verbal communication skills with strong attention to accuracy and detail.
- Proven ability to analyze, interpret, and annotate complex medical data.
- Ability to work independently in a remote environment while collaborating effectively with multidisciplinary teams.
Healthcare Specialist | Remote employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Healthcare Specialist | Remote
β¨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
β¨Tip Number 2
Prepare for those interviews! Research common questions for healthcare specialists and practice your responses. We want you to showcase your clinical expertise and communication skills, so be ready to impress!
β¨Tip Number 3
Show off your skills! If you have any relevant projects or case studies, make sure to highlight them during interviews. This is your chance to demonstrate your deep understanding of healthcare workflows and AI applications.
β¨Tip Number 4
Apply through our website! Weβve got loads of exciting roles waiting for talented individuals like you. Donβt miss out on the chance to join our team and make a real impact in the healthcare AI space.
We think you need these skills to ace Healthcare Specialist | Remote
Some tips for your application π«‘
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience as a healthcare provider. We want to see how your skills align with the role of Healthcare Specialist, so donβt hold back on showcasing your clinical expertise!
Showcase Your Communication Skills: Since you'll be communicating complex clinical insights, itβs crucial to demonstrate your written communication skills. Use clear and concise language in your application to reflect your ability to convey information effectively to both technical and non-technical stakeholders.
Highlight Your Technical Know-How: Donβt forget to mention your experience with healthcare IT systems and electronic health records. Weβre looking for someone who can navigate these platforms with ease, so make sure to include any relevant tools or technologies youβve worked with.
Apply Through Our Website: We encourage you 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 β just follow the prompts and youβll be good to go!
How to prepare for a job interview at Crossing Hurdles
β¨Know Your Stuff
Make sure you brush up on your clinical knowledge and the latest healthcare regulations. Being able to discuss complex medical scenarios confidently will show that youβre not just a candidate, but a true expert in your field.
β¨Showcase Your Collaboration Skills
Since this role involves working with product, engineering, and data science teams, be ready to share examples of how you've successfully collaborated in the past. Highlighting your ability to communicate complex insights to both technical and non-technical stakeholders will set you apart.
β¨Prepare for Practical Scenarios
Expect to be asked about real-world applications of AI in healthcare. Think about how you would approach training AI models with clinical data and be prepared to discuss your thought process and any relevant experiences.
β¨Ask Insightful Questions
At the end of the interview, donβt shy away from asking questions. Inquire about the companyβs approach to continuous improvement in clinical documentation practices or how they stay updated with emerging technologies. This shows your genuine interest in the role and the organisation.