Medical AI Trainer at micro1
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

21 Nov, 25

Salary

17.75

Posted On

21 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Regulations, Medicine, Communication Skills

Industry

Hospital/Health Care

Description

ABOUT US:

Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.

REQUIRED SKILLS AND QUALIFICATIONS:

  • Proven experience in diagnostic analysis and clinical terminology.
  • Solid understanding of medical and physiological concepts.
  • Familiarity with healthcare protocols and regulations.
  • A medical degree
  • Strong written and verbal communication skills.
  • Experience with machine learning tools and data annotation techniques.
  • Ability to work independently and collaboratively in a remote team environment.

PREFERRED QUALIFICATIONS:

  • Advanced degree in medicine, data science, or a related field.
  • Previous experience working with AI in a healthcare setting.
  • Knowledge of ethical AI practices in the medical field.
    Job Type: Part-time
    Pay: $17.75-$54.68 per hour
    Expected hours: 20 – 30 per wee
Responsibilities
  • Analyze patient and operational data to refine AI models that enhance healthcare outcomes.
  • Curate, preprocess, and annotate datasets tailored to healthcare applications.
  • Train and fine-tune machine learning models using state-of-the-art tools and techniques in a clinical setting.
  • Provide iterative feedback on model outputs for improved accuracy and performance.
  • Collaborate with cross-functional teams, including data scientists and healthcare professionals, to define and achieve training objectives.
  • Monitor AI model performance and suggest improvements based on user or system feedback.
  • Ensure data security and ethical compliance in all training processes.
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