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Data Annotator

  • Full Time, onsite
  • Infotree Global Solutions
  • United States, United States of America
Salary undisclosed

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Data QA Annotator (English):

Description:

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.

Responsibilities:

• Annotating, categorizing, and checking quality of annotated data (including text). Providing feedback on observed trends in the dataset.

• 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:

• English speaker with excellent oral and written communications skills

• 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 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

• Highly organized with strong attention to detail

• 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

• Degree in English Literature or associated field

• Passion for English grammar