SUPA helps companies worldwide in enhancing generative AI with diverse human feedback through our data labeling, visualization, and insights platform. We also build, reinforce, and generate labeled data for Computer Vision (CV) models. We service the data labeling sectors across the medical, construction, retail, and robotics fields.

The Role

About SUPA

SUPA helps companies worldwide in enhancing generative AI with diverse human feedback through our data labeling, visualization, and insights platform. We also build, reinforce, and generate labeled data for Computer Vision (CV) models. We service the data labeling sectors across the medical, construction, retail, and robotics fields.

About The Role

As a Medical Data Annotator, you play a crucial role in labeling our client's healthcare data to enhance the accuracy and performance of Machine Learning models. Your contribution will be integral to the development of advanced AI-powered medical technology, improving patient outcomes, and revolutionizing healthcare solutions.

This is a 3-month contract, offered on a remote basis, providing flexibility in working hours to accommodate diverse schedules.

Through utilizing your extensive knowledge and experience, you will leave a lasting impact on the intersection of medical technology and AI. If you are eager to contribute to shaping the future of innovation in medicine, join us as a Medical Data Annotator!

Responsibilities

Apply knowledge and experience in working with medical imaging technologies
Maintain high standards of excellence in your work, delivering high-quality data with consistency and accuracy within the given timeframe.
Participate in briefings and training to understand the project requirements and guidelines, including effectively navigating the relevant software and tooling.
Work closely with SUPA’s Delivery Team, including Project Managers and Community Managers, reaching out for guidance and raising any concerns.
Utilize available resources, including resolving common queries amongst your peer-to-peer network of fellow qualified medical practitioners.

Ideal Profile

Requirements And Skills (You Should Come With)

Possess a medical degree or certification.
Experience in working with medical imaging technologies
A high level of precision and attention to detail, always striving for excellence.
Familiarity with XNAT and an openness to learning new technologies.
Access to a computer device and a stable network connection.
Proficient in English, both written and verbal.
Maintain utmost confidentiality of sensitive patient information.
Ability to work effectively in a team of qualified professionals to achieve project goals.
A drive to contribute to cutting-edge technological innovations in medical AI.

Bonus points if you have

Prior experience working in data annotation.

What's on Offer?

Opportunity to make an impact on the medical AI sector

SUPA

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Medical Data Annotator