Data Annotation Intern

3 days ago

Bengaluru Karnataka, India Metropolis Full time

**The Company** Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. **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. - When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows._ - #LI-AR1 #LI-Onsite_

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