Data Labeling Specialist

2 недель назад

Львов, Львовская область, Украина Wix Полный рабочий день 30 000 ₴ - 60 000 ₴ в год

Job Description
Join Wix's world-class Data Science team, where we're harnessing the power of AI to revolutionize the online experience. As a Data Labeling Specialist, you will be a key player in crafting the datasets that fuel our innovative AI algorithms. Your meticulous work ensures the highest quality of data, contributing to the success of transformative technologies across generative AI, computer vision, forecasting, and more.

This is a temporary role on a 6-month contract.
In your day-to-day, you will:

  • Perform detailed data labeling for vision and text data, adhering to strict annotation guidelines
  • Engage in the evaluation of AI models, contributing to the enhancement of their performance
  • Participate in quality assurance to guarantee data meets precise project requirements
  • Identify intricate data patterns that could influence AI model behavior
  • Utilize various annotation tools and platforms with accuracy and efficiency

Qualifications

  • Strong English proficiency for evaluating texts, understanding instructions and providing clear data labeling feedback
  • Exceptional attention to detail for data accuracy and quality
  • Self-organized with the ability to work independently and meet deadlines
  • Self-motivated to maintain quality during repetitive tasks
  • Proficient in Google Sheets and able to adapt and work with various tools and systems for diverse tasks and projects
  • Background in design and experience with Google Slides – an advantage
  • Lviv-based

Additional Information
Wix's Data Labeling team is an integral part of the Data Science guild, a group at the forefront of AI breakthroughs. We take pride in our ability to create algorithms that mimic human intelligence, which are foundational to Wix's innovative future. The quality of our data underpins the success of AI products, and we know that AI magic is not possible without proper data preparation, evaluation and research.

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