Data Quality Annotator Multilingual A82 – Cupertino, CA or Remote PST hours

QA Annotator English, Spanish, Portuguese, German, Chinese, Japanese, Korean, Russian, or Arabic – Remote working on PST hours

We are looking for a Data Quality Annotator to join our growing team. Our Data Quality Team is responsible for crafting high quality datasets at scale. You will focus on performing in-house annotation tasks and participate in the quality assurance of outsourced projects. Annotation projects may include classification, segmentation (polygons or Photoshop-based matting), drawing bounding boxes around zones of interest, and subjective reaction to a visual asset. Quality assurance in this context consists of evaluating work performed by an external partner and ranking it according to given scoring guidelines.


  • Annotating, categorizing, and checking quality of annotated data (including text). Providing feedback on observed trends in the data-set.
  • Comprehending the overall purpose of an annotation task based on guidelines and supporting examples
  • Ability to perform repeating annotation tasks with consistency, quality, and speed
  • Ability to recognize differences between images

Required Experience and Skills:

  • Excellent English-language oral and written communications skills
  • Native speaker in one of following languages: English, Spanish, Portuguese, German, Chinese, Japanese, Korean, Russian, or Arabic
  • Superior time management and multi-tasking skills
  • Flexibility and adaptability to thrive in a fast-paced, highly-demanding, constantly changing environment
  • Expert knowledge of macOS, iOS, and iPadOS (Numbers, Keynote and Pages)
  • Experience working with Mac and macOS 10.14 or higher for work
  • Able to deliver multiple projects of varying lengths, while meeting quality standards and deadlines
  • Self-motivating with the ability to work independently and with little supervision
  • Excellent communication and interpersonal skills and capacity to ask questions when guidelines are not clear enough
  • Highly organized with strong attention to detail
  • Ability to independently navigate systems and tools
  • Successfully meets or exceeds targets, working within tight deadlines

Preferred Experience and Skills:

  • Minimum 2 years in a professional environment with much of that time in a data annotation/quality assurance role
  • Previous Photoshop experience will be a plus

For more information contact Jeanne

We offer a referral bonus if you refer a colleague who is hired.  Anzu Global is also actively seeking candidates with experience in Artificial Intelligence AI, Natural Language Processing NLP, Machine Learning ML, and Computational Linguistics.