Data Annotation Intern

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.

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:

• 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.

• Graduate or equivalent is required
• 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.

• Availability to work a consistent night shift is a must.

• Previous experience in data entry, quality assurance, or other detail-oriented roles is a plus, but not required. We provide all necessary training.

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

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.

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

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.