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Smarteye

Annotation Guidelines Specialist Internship

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Job Description

Smart Eye is the leading provider of Human Insight AI, technology that understands, supports and predicts human behavior in complex environments. The company is on a mission to bridge the gap between humans and machines for a safe and sustainable future. Supported by Affectiva and iMotions – companies it acquired in 2021 – Smart Eye's multimodal software and hardware solutions provide unparalleled insight into human behavior.

In automotive, Smart Eye's driver monitoring systems and interior sensing solutions improve road safety and the mobility experience. The company's eye tracking technology and iMotions biosensor software platform are also used in behavioral research to enable advanced research in academic and commercial sectors. In media analytics, Affectiva's Emotion AI provides the world's largest brands and market researchers with a deeper understanding of how consumers engage with content, products, and services.

Founded in 1999, Smart Eye is a global company headquartered in Sweden, with customers including NASA, Nissan, Boeing, Honeywell, Volvo, GM, BMW, Polestar, Geely, Harvard University, 26 percent of the Fortune Global 500 companies, and over 1,300 research organizations around the world.

Visit www.smarteye.ai for more information.

  • Overview of the Annotation Guideline Specialist role:
  • Documentation and Grooming: The Guideline creation involves receiving annotation

requirements, defining the new annotation guideline process and understanding its main

requirements. It also involves discussing the annotation purposes with the key stakeholders and

aligning similar annotation approaches with the developer's needs, as well as connecting with

the Data Engineering team and the Quality Assurance Lead for alignment on the annotation

outcomes. Draft or update guideline documents based on existing standards. Keep track with the

new requirements, guideline updates and the potential edge cases in new data

  • Tool configuration: Testing the most fitting annotation approach and creating sample PoCs for

the Data engineering team to begin their workflows.

  • Alignment & Testing: Explain the new guidelines and act as an expert resource for annotation

management and annotators. Drive the training sessions to test new or updated guidelines

before production.

  • Stakeholder Coordination: Gathering requirements from the product owners and developers

and

  • Quality assurance: Assisting the quality assurance lead with identifying potential annotations

risks, monitoring data quality and arising issues and ensuring the overall process in compliance

with the annotation standards

assist with brainstorming and refining their needs and the outcomes.

  • Core responsibilities:
  • Assist in drafting and updating annotation guidelines
  • Gather and document annotation examples and edge cases.
  • Maintain version control of guideline updates.
  • Assist in creating PoCs.
  • Validate classes, labels, tags used in the annotation workflow.
  • Support in training sessions for different teams.
  • Answer basic guideline-related questions.
  • Collect annotator feedback and improvement suggestions.
  • Assist with requirement clarification sessions with the stakeholders
  • Assist in refining guidelines based on QA feedback
  • Strong attention to detail
  • Effective written and communication skills
  • Problem-solving
  • Organization and time management
  • Ability to learn quickly and adapt to changing requirements

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About Company

Job ID: 151303621