Providence College Of Engineering Hiring Drive 2024 For Data Annotation Analyst | Location Hyderabad

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Providence College Of Engineering Hiring Drive 2024: Providence College Of Engineering Hiring Drive 2024 for its Data Annotation Analyst. Providence College Of Engineering Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a graduate in B.E/B.Tech. if you are interested, please apply as soon as possible.

Company Name: Providence College Of Engineering

Role: Data Annotation Analyst

Location: Hyderabad

Experience: 0 – 2 years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Providence College Of Engineering Hiring Drive 2024

Job Description:

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


  • 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


  • 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 .

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