Data Annotation Analyst
How is this Team Contributing to the Vison 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
What would your day look like?
- 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