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CANKADO  India (P) Ltd

GROUND FLOOR, AMSTOR HOUSE, TECHNOPARK CAMPUS, TRIVANDRUM , 695581

Mobile Developer & Data Annotation Specialist – Healthcare AI

Closing Date:31,Oct 2025
Job Published: 09,Oct 2025
Contact Email: career@cankado.in

Brief Description

We’re a healthcare AI company building intelligent mobile solutions that empower patients, clinicians, and researchers. Our mission is to leverage mobile technology and artificial intelligence to improve diagnosis, treatment, and health monitoring safely and ethically.

We’re looking for a Mobile Developer & Data Annotation Specialist to join our growing team. You’ll help design and maintain mobile applications that collect and process healthcare data, as well as contribute to the annotation and curation of medical datasets used to train AI models for clinical decision support and patient care.

Key Responsibilities

  • Design, develop, and maintain mobile applications (Android/iOS) for healthcare data collection and AI-driven insights.

  • Work with cross-functional teams to integrate machine learning models into mobile environments.

  • Build data pipelines and APIs to connect mobile data with backend AI systems.

  • Participate in data annotation and labeling for medical datasets (e.g., medical images, patient data, sensor readings).

  • Ensure data quality, privacy compliance, and security (HIPAA/GDPR standards).

  • Develop scripts or tools (Python, Swift, Kotlin, or Flutter/Dart) for automating annotation or data validation tasks.

  • Collaborate with clinicians, and UI/UX designers to optimize app usability and data accuracy.

Preferred Skills

Required Skills & Qualifications

  • Minimum 2 to 3 years experience in mobile development (Flutter, React Native, Swift, or Kotlin).

  • Solid understanding of REST APIs, JSON, and data handling on mobile platforms.

  • Familiarity with Python for scripting and annotation tasks.

  • Experience with data annotation tools (Label Studio, CVAT, Labelbox, etc.).

  • Passion for healthcare technology and understanding of medical data sensitivity.

  • Excellent attention to detail and ability to follow clinical labeling protocols.

  • Experience with AI/ML model integration in mobile apps (e.g., TensorFlow Lite, Core ML).

  • Knowledge of FHIR, HL7, or other healthcare data standards.

  • Familiarity with HIPAA compliance, data encryption, and secure storage.

  • Prior work with wearable data, remote patient monitoring.

  • Strong problem-solving and communication skills.