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Posted:18 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

About the Role:

We are looking for motivated and detail-oriented Data Annotation Interns to join our team for a 3-month internship. As a Data Annotator, you will be primarily responsible for working with prompts, tagging, and organizing datasets that contribute to the development and training of AI systems. This is a great opportunity to gain hands-on experience in AI training workflows and data operations.

Key Responsibilities:

  • Create, review, and annotate text-based prompts according to given guidelines
  • Work extensively on data tagging, classification, and validation
  • Maintain and manage datasets using tools like MS Excel, VLOOKUP, and Advanced Excel functions
  • Ensure accuracy, consistency, and completeness in data entries
  • Collaborate with the data team to improve annotation workflows and maintain documentation
  • Follow quality control standards and meet daily/weekly productivity targets

Requirements:

  • Basic to intermediate understanding of data annotation and prompt-based work
  • Familiarity with MS Excel, including functions like VLOOKUP, pivot tables, and other advanced features
  • Good attention to detail and the ability to work independently
  • Medium-level communication skills (verbal and written)
  • Strong time management and organizational skills
  • Ability to follow instructions and work within set guidelines
  • Currently pursuing or recently completed graduation in any stream (preferred: Computer Science, Data Science, IT, or related fields)

What We Offer:

  • Hands-on experience with real-world AI and ML data projects
  • Certificate of Internship upon successful completion
  • Learning opportunities in the field of AI training and data operations
  • Friendly and collaborative team environment

Job Types: Fresher, Internship
Contract length: 3 months

Pay: ₹5,000.00 - ₹7,000.00 per month

Ability to commute/relocate:

  • Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred)

Work Location: In person

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