Data Annotator

The Data annotator is responsible for the annotation process of new unlabeled datasets, a quality check of annotated datasets, and resolving poor annotation quality problems. The Data annotator also supports other teams in data processing tasks.

What you’ll be doing:

  • Catalog newly arrived datasets
  • Master main software tools for point cloud processing
  • Define an optimal working process for datasets annotation
  • Analyze and track datasets quality and stats
  • Support other team with different role-related data processing tasks
  • Support product/sales team with the preparation of sales/marketing material
  • Report and document issues faced from data annotation to the Research team and discuss solutions to improve data
  • Contribute to workflow process improvements
  • Produce consistently high-quality annotations in a variety of ways to help train Semantic Segmentation models.

We think you are a good fit if you have:

  • Preferably solid computer literacy and general IT experience
  • Experience with 3D CAD or modeling software tools is a plus
  • Ability to work on repetitive tasks efficiently and effectively with minimal errors
  • Excellent communication, analytical, and good reasoning skills
  • Possess high motivation with the desire to learn
  • Proactive attitude
  • Have some interest in new technologies: artificial intelligence, machine learning, 3D modeling, points clouds
  • Visual-oriented, detail-oriented, quality-focused, and meticulous
  • Ability to work autonomously
  • Highly organized and reliable

Benefits @Anari AI

  • Employee stock options – depending on the mutual agreement we compensate not only with salary but with a generous stock option plan.
  • Up to 3 days off per year for private purposes – you can use these days to relax or take care of personal things.
  • Paid private health insurance (Wiener Städtische) – a generous insurance plan with annual medical checkups.
  • Up to 5 days of paid sick leave per year – no need to spend endless time in lines; use your private health insurance.
  • Anari Knowledge Community – dedicated internal events for (non)professional knowledge sharing and discussions.
  • Anari Clubs – we like to read and discuss our findings and impressions during book clubs, and as we have many board game lovers, everyone is welcome to join our board game club!
  • Onboarding Buddy – a colleague to help you get onboarded in a relaxed and unstructured way within your pace.
  • FitPass card – we have you covered if you are into fitness, gym, and workout.
  • Flexible start of the day – there is no time tracking, while the beginning is up to you any time before 10 AM.
  • Team gatherings, not team buildings – we organize events spontaneously and relaxedly, with no obligations and pressure.
  • Remote or hybrid work arrangement – we support flexible remote or hybrid work arrangements depending on your location.

Our recruitment process

Phase 1: Initial Meeting – conversation about you, your motivation, and key soft competencies, where you can also learn more about Anari AI and our vision.
Phase 2: Tech Talks – technical conversation with our tech gurus so you can learn more about our technical approach, and we can learn more about your technical expertise.
Phase 3: Case Study – depending on the role, we will prepare a case study that helps us determine your hard skills, and you get familiar with what you can expect on the job.
Phase 4: CEO Interview – successful startups had their CEOs involved in a few first hundred employees, and we follow that practice!

P.S. Sometimes, we might switch Phases 2 and 3 to optimize the process.

Who Are We?

Anari’s AI is on a journey to create the first cloud AI platform that will allow the creation of goal-driven AI computation systems made of domain-specific hardware accelerators, machine learning-trained algorithms, software modules, and deployment in heterogeneous cloud infrastructures.

The team is global and consists of Ph.D. researchers, machine learning experts, and senior software engineers. Advisory board members have experience in UCLA, Berkley, and CERN.

 

Job Category: Development
Job Type: Full Time
Job Location: Hybrid Novi Sad / Remote Remote

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