Job Summary

Startup Inno is seeking a detail-oriented and highly motivated Remote Medical Imaging Data Labeler to join our growing team. In this role, you will support the development of advanced healthcare technologies by accurately annotating and labeling medical imaging datasets used to train artificial intelligence and machine learning models. These models help healthcare professionals improve diagnostics and patient outcomes.

The ideal candidate will have strong analytical skills, exceptional attention to detail, and the ability to work independently in a remote environment. You will collaborate with data scientists, AI engineers, and healthcare experts to ensure the highest standards of data quality and accuracy.

Key Responsibilities

• Review and annotate medical imaging data such as X-rays, CT scans, MRI images, and ultrasound images according to project guidelines.

• Identify and label anatomical structures, abnormalities, or medical conditions within imaging datasets.

• Ensure consistent and accurate data labeling to support machine learning model development.

• Follow strict data privacy, compliance, and quality assurance protocols.

• Work closely with the data science and AI teams to clarify labeling requirements and improve dataset quality.

• Maintain organized records of completed tasks and progress reports.

• Participate in training sessions to stay updated with medical imaging labeling tools and standards.

• Perform quality checks and peer reviews when required.

Required Skills and Qualifications

• Bachelors degree in Life Sciences, Medical Imaging, Biomedical Engineering, Healthcare, or a related field (preferred).

• Strong attention to detail and the ability to analyze complex visual data.

• Familiarity with medical terminology and anatomical structures.

• Basic understanding of machine learning data annotation processes is an advantage.

• Proficiency in using computer-based annotation tools and data management platforms.

• Strong written and verbal communication skills in English.

• Ability to work independently and meet deadlines in a remote environment.

Experience

• 0–2 years of experience in data annotation, medical imaging analysis, healthcare documentation, or related fields.

• Prior experience with medical datasets, radiology tools, or AI training datasets is considered a strong advantage.

• Fresh graduates with relevant academic background and strong attention to detail are encouraged to apply.

Working Hours

• Fully remote position.

• Flexible working schedule depending on project deadlines.

• Part-time and full-time opportunities available.

• Candidates may be required to collaborate with global teams across different time zones.

Knowledge, Skills, and Abilities

• Strong observational and analytical skills.

• Ability to interpret visual medical data with precision.

• High level of concentration and consistency during repetitive tasks.

• Basic knowledge of healthcare data privacy standards and ethical handling of medical information.

• Adaptability to new tools, workflows, and AI annotation technologies.

• Ability to maintain confidentiality and follow strict data security guidelines.

Benefits

• Competitive compensation based on experience and project scope.

• 100% remote work flexibility.

• Opportunity to work on cutting-edge AI and healthcare technology projects.

• Professional development and training opportunities in medical AI and data annotation.

• Collaborative and innovative work environment.

• Exposure to global healthcare and technology teams.

Why Join Startup Inno

At Startup Inno, we are passionate about using technology to transform healthcare. By joining our team, you will contribute to groundbreaking AI solutions that help medical professionals detect diseases earlier, improve diagnostics, and ultimately save lives. We provide a flexible remote work environment, opportunities for professional growth, and the chance to work on meaningful projects that make a real-world impact.

How to Apply

Interested candidates are invited to submit their updated resume along with a brief cover letter highlighting their relevant experience and interest in medical imaging data annotation.

Please send your application to the Startup Inno recruitment team through the official careers portal or recruitment email listed on the company website. Shortlisted candidates will be contacted for the next stage of the selection process.