Data Labeling Quality Specialist - Federal

The Data Labeling Quality Specialist role is an entry-level position in the Artificial Intelligence and Machine Learning industry. The role involves annotating tasks, ensuring high quality, and collaborating with Supply Ops and Engineering to drive improvements. The ideal candidate is detail-oriented, able to follow complex instructions, and possesses strong communication skills. This role offers career advancement opportunities and a 1-year contract with the possibility of renewal. Scale, the company hiring for this role, is a leader in providing human-powered data for AI applications and has recently raised significant funding for expansion.

• 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

• 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
• 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

• Compensation: $17.25/hr
• Compensation: $24.00/hr with Active Security Clearance
• Career advancement opportunities
• 1 Year Contract with likelihood of renewal
• Inclusive and equal opportunity workplace
• Reasonable accommodations for applicants with disabilities