Fresher hiring for Data Annotator

  • icon job experience Fresher
  • icon job opening 662 Openings
  • icon salary 8.0 - 8.5 Lac/Yr
  • icon job posting Posted today
  • Telephonic interview Telephonic interview
  • icon job location Hyderabad
Key Skills

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Job Description

Join our team as a Data Annotator, where you will play an important role in improving machine learning models through accurate data labeling. This part-time position is ideal for freshers who have completed at least 10th grade and wish to work from home in Hyderabad, India.

Key Responsibilities:

1. **Data Labeling**: Annotate various types of data, including text, images, and audio, accurately and consistently, ensuring that all information is easy for algorithms to understand.

2. **Quality Assurance**: Review your annotations and ensure they meet quality standards. Provide feedback to enhance the accuracy and reliability of the data.

3. **Collaboration**: Work closely with other team members and supervisors to complete projects on time, sharing insights and best practices to improve the annotation process.

4. **Training and Development**: Participate in training sessions to learn more about data annotation tools and techniques, ensuring you stay updated with industry standards.

Required Skills and Expectations:

Candidates should have a keen eye for detail and a strong commitment to delivering high-quality work. You should possess basic computer skills and be comfortable using various software applications. Good communication skills are essential for working effectively with the team.

As a data annotator, you are expected to manage your time wisely and meet deadlines while maintaining a positive attitude. A willingness to learn and adapt will help you succeed in this role.
  • Experience

    Fresher

  • No. of Openings

    662

  • Education

    10th Pass

  • Role

    Data Annotator

  • Industry Type

    Call Centre / BPO / KPO / ITES / LPO

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Part Time (Night Shift)

  • Work Location Type

    Work from Home

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