Data Qa Annotator Jobs

Job Title: Data QA Annotator

Location: Cupertino, CA - 100% Remote, must work PST hours

Duration: 12 months contract with possibility of extension

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:

Native 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