Samsung Electro Mechanics Recruitment 2023 Hiring For Graduate Apprentice Trainee (Data Annotation )

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Samsung Electro Mechanics Recruitment 2023 For its Graduate Apprentice Trainee (Data Annotation ), Samsung Electro Machanics Drive is organizing Off Campus Drive for candidate in Any BAtch. In order to apply, candidates should have degree in Bachelors Degree. if you are interested, Please apply as soon as possible.

Company Name: Samsung Electro Machine

Role: Graduate Apprentice Trainee (Data Annotation )

Location: Bangalore

Experience: Freshers

Qualification: Bachelor’s degree in a relevant field

Batch: Any Batch

Job Type: Full Time

Salary: Upto ₹10 LPA (Expected)

Samsung Electro Mechanics Recruitment 2023

Job Description:

  • You will work closely with our team of data annotation experts to ensure high-quality and accurately labeled data for machine learning and AI training purposes. This entry-level position is ideal for individuals who are passionate about technology, data, and the applications of artificial intelligence.


  • Bachelor’s degree in a relevant field (computer science, engineering, data science, etc.) or equivalent experience.
  • Strong attention to detail and the ability to maintain a high level of accuracy.
  • Basic knowledge of machine learning and artificial intelligence concepts is a plus.
  • Eagerness to learn and adapt to new tools and technologies.
  • Good communication and teamwork skills.
  • Highly organized with the ability to manage multiple tasks effectively.


Data Annotation:

  • Learn and apply annotation techniques to label various types of data, including text, images, and videos.
  • Follow annotation guidelines and project-specific instructions with a high degree of accuracy.

Quality Control:

  • Assist in quality control processes to ensure that annotated data meets project requirements and quality standards.
  • Identify and report any inconsistencies or issues in the labeled data.


  • Work closely with team members and project managers to ensure effective communication and collaboration on annotation tasks.
  • Seek feedback and guidance to improve annotation skills.


  • Maintain detailed documentation of annotation processes and activities.
  • Contribute to the development of annotation guidelines and best practices.

Technology Utilization:

  • Utilize annotation software and tools to perform labeling tasks efficiently.
  • Learn to use specialized software and platforms for data annotation.

Professional Development:

  • Stay up-to-date with industry trends and best practices related to data annotation and machine learning.
  • Participate in training and skill development programs as needed.

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