Data Labeling Quality Specialist - Federal

Scale AI, Inc.
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Job Description

The Data Labeling Quality Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented and adaptable. The role will be focused on annotating tasks and delivering high quality by following a variety of instructions. The role will be perfect for individuals who value challenge in their work. You will be working cross-functionally with Supply Ops and Engineering to drive improvements in quality.

You will:

  • Label machine learning data from customers
  • Complete tasks in a timely manner, meeting SLA deadlines
  • Do post-process audits and write error reports on data and tasks
  • Work in-sync with Supply Managers to meet weekly goals
  • Identify and resolve the root cause of low quality and provide feedback to respective teams on product improvements

Ideally you'd have:

  • Must be a US Citizen, and must be able to pass Background Check
  • Must be willing and have ability to obtain and maintain a Secret Security Clearance
  • Detail oriented and can follow complex instructions
  • Ability to work full-time hours (8-hour workdays)
  • Ability to work independently, cooperatively, and collaboratively as a team member
  • Possession of excellent oral and written skills
  • Strong sense of ownership, urgency, and drive
  • Ability to handle ambiguity and changing priorities

Pay & Duration:

  • Compensation: $17.25/hr
  • Compensation: $24.00/hr with Active Security Clearance
  • Scale also provides spot bonuses + career advancement opportunities to the right candidates
  • 1 Year Contract with likelihood of renewal

Company Info.

Scale AI, Inc.

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

  • Industry
    Artificial intelligence
  • No. of Employees
    1,191
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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