
Data Annotator Intern
1 day ago
**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
Schedule:
- Day shift
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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