Data Annotation Intern

Job Summary

We are seeking a meticulous and detail-oriented Data Annotator Intern to join our data team. In this role, you will play a crucial part in the development of our machine learning and AI models by accurately labeling, tagging, and categorizing large datasets. Your work will directly impact the performance and quality of our AI systems, requiring a high level of concentration and adherence to specific project guidelines. This is an entry-level position perfect for individuals who are organized, focused, and want to contribute to the cutting edge of technology.

Duration: 6 Months

Key Responsibilities

• Accurately label and annotate data according to project specifications and guidelines.
• Work with various data types, including images, text, to perform tasks such as:
• • Image Annotation: Drawing bounding boxes, polygons, or keypoints to identify objects in images.
  • Text Annotation: Categorizing text, sentiment analysis, and named entity recognition.
• Review and quality-check annotated data to ensure a high level of accuracy and consistency.
• Communicate with team leads to clarify project guidelines or address challenges.
• Maintain data security and confidentiality at all times.

Qualifications

• Education: Graduate or equivalent is required.
• Skills:
• • Exceptional attention to detail and a methodical approach to tasks.
  • Strong comprehension skills and the ability to follow complex instructions precisely

• Good communication skills to collaborate with a team.
• Ability to work in a fast-paced environment and meet daily quality and productivity targets.
• Experience: Previous experience in data entry, quality assurance, or other detail-oriented roles is a plus, but not required. We provide all necessary training.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.