Data Annotation Analyst

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 120,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 52 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US. 

Providence India was established to bring to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation for Improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.

Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

How is this team contributing to the vision of Providence?

The Providence Digital Innovation Group is a team of strategists, software engineers, marketers and investors focused on digital innovation that further Providence’s vision of “Health for a Better World.” The organization works hand-in-hand with clinical and operational teams at Providence to identify opportunities and deliver innovative solutions through the use of technology that will have an impact on patients, clinicians, communities, and the strength of our organization.

Now, as we face a new frontier—a changing health care landscape - we are looking for pioneering and compassionate individuals to plan for the next century and who can work on re-imagining the future of care with cutting-edge technologies such as big data, machine learning, artificial intelligence, IoT, and blockchain that enhance patient outcomes and experiences and more importantly, drive a lasting social impact.

What will you be responsible for?

Data annotation– a critical step in supervised learning–is the process of labelling data to teach the AI and ML models to recognize specific data types to produce relevant output.

As a Data Annotation Analyst, you will

  • Contribute to creating a robust vision for data analytics team within Providence India.
  • Learning the Data Annotation Tools quickly.
  • Owning the development quality of the Data Annotation Tool.
  • Help to define data labelling quality metrics, reports analysis of the same.
  • Good Team player and should follow agile development methodologies.
  • Analysis and resolution of customer and internal reported issues
  • Responsible to meet deadlines.
  • Highly self-motivated and energetic
  • Labelling/Annotation of data
  • Audit labelling made by AI Models for quality check
  • Prepare objective guidelines for existing and new use cases
  • Discuss with different stakeholders for the right annotation requirements.

Who are we looking for?

  • A graduate in B.E/B.Tech (Computer Science/ Data Science /Equivalent Background)
  • Prior experience working on Healthcare data labeling, training, and evaluating data for machine learning models.
  • Working knowledge of Data annotation tools such as Prodigy
  • Good Programming skills in Python with Django Framework; TensorFlow; PyTorch; JSON File Format
  • Proficient in SQL
  • Familiar with cloud-based technologies like AWS /AZURE etc.
  • A go-getter, good in communication, challenge ideas to achieve career aspirations aligned with Providence mission
  • A Learning Enthusiast to be passionate about learning, follow trends and publications in the market outlining new solutions
  • Good interpersonal and communication skills

Providence’s vision to create ‘Health for a Better World’ aids us to promote individuality, diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunity regardless of race, religion or belief, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law.