Will be responsible for accurately labeling and annotating large medical datasets to support the development and improvement of machine learning models.
Key Responsibilities:
Accurately annotate and label large volumes of data according to specified guidelines.
Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
Collaborate with team members to address and resolve any annotation discrepancies or issues.
Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
Collaborate with team members to address and resolve any annotation discrepancies or issues.
Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
Collaborate with team members to address and resolve any annotation discrepancies or issues.
Conduct thorough quality checks on annotated data to ensure precision and adherence to project requirements.
Collaborate with team members to address and resolve any annotation discrepancies or issues.
Maintaining confidentiality of data and adhering to data security protocols.
Qualifications
Bachelor’s degree in a relevant field (Computer Science, Bioinformatics, Bio-Medical Engineering, Science “Biophysics, Biotechnology, Biochemistry” etc.) or equivalent practical experience.
Strong attention to detail and the ability to maintain accuracy while working with large datasets.
Familiarity with data annotation tools and software.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.
A good understanding of basic machine learning & computer vision concepts is a plus.
Additional Information
Preferred skills:
Medical Data Annotation/labelling/Segmentation.
Programming skills in languages such as Python or familiarity with scripting languages.
Previous experience in a similar role or in the field of machine learning and artificial intelligence.
Previous experience in CT-Scans Segmentation/Annotation/Labelling.