Role:Data Annotation Analyst
Location: work from home/HYDERABAD
JOB DESCRIPTION:
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
Education Required:
- A graduate in B.E/B.Tech (Computer Science/ Data Science /Equivalent Background)
skills
- 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
