Remote AI Data Specialist

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Goodnotes

πŸ“Remote - China, United Kingdom

Job highlights

Summary

Join a dynamic team at Goodnotes to transform education and productivity using AI technologies. As an AI Operations Analyst, you will generate high-quality data for model training, conduct stress-tests, and collaborate with ML Engineers to improve products and services.

Requirements

  • A minimum of a Bachelor’s degree in Social Sciences - including Literature, Linguistics, Philosophy, Philology, Journalism, or related fields
  • Proficiency in reading and writing in both informal and professional English (at least C1 level, C2 preferred)
  • Fluent in Mandarin Chinese and able to read and write informal and professional Chinese
  • Professional working proficiency of Korean is a big plus
  • Exceptional attention to detail
  • Eager to work in a dynamic, fast-paced, collaborative environment
  • Outstanding communication skills, both verbal and written

Responsibilities

  • Utilize proprietary software applications to label data for our models accurately
  • Support the delivery of high-quality, curated data to enhance model training and performance
  • Conduct thorough stress-tests on our models and features to ensure the delivery of safe and reliable AI systems to our customers
  • Over time, engage in prompt engineering for features based on large language models
  • Collaborate with ML Engineers to enhance the design and functionality of efficient labeling tools
  • Become an expert on our models' behavior, clearly communicating all discovered patterns in evaluation and testing

Benefits

  • Meaningful equity in a profitable tech startup
  • Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness
  • Sponsored visits to our Hong Kong or London office every 2 years
  • Company-wide annual offsite (we met in Portugal in 2023 and Bali in 2024)
  • Flexible working hours and location
  • Medical insurance for you and your dependents

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