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Recruiting Coordinator

Scale AI

Scale AI

Administration, People & HR
San Francisco, CA, USA
Posted on Monday, May 15, 2023

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster, across every industry. Our team is transforming how machine learning teams build innovative products and we strive to take on complex challenges and find new ways to solve problems.

About the Role:

We are looking for a talented and experienced Recruiting Coordinator to join our team and participate in the hiring process from beginning to end. You’ll be directly working with our hiring partners, recruiters and candidates to create a personal and creative recruiting experience!

You will:

  • Manage the all-important candidate experience from scheduling phone/video calls to managing on-site interviews
  • Communicate professionally with our candidates and internal stakeholders and maintain a high level of confidentiality at all times
  • Provide a comfortable and welcoming experience
  • Assist with on-site interviews at our San Francisco office as requested
  • Continually improve our processes to make every step of our recruiting process exceptional
  • Maintain data integrity within our applicant tracking system, Greenhouse, and scheduling automation tool, Modernloop
  • Lead and collaborate in ad-hoc events and projects
  • Be located in the Bay Area, available to commute in twice a week at least


  • 1+ years in a fast-pace TA/Recruiting coordination role
  • Familiarity with Greenhouse (ATS)

Ideally You'd Have:

  • Experience working as a coordinator in a fast-paced environment, managing high-volume schedule load, supporting different departments/organizations on their hiring needs
  • A keen eye for even the most minute details
  • A self-starter mindset and the ability to troubleshoot and resolve roadblocks as they occur
  • Ability to creatively problem solve, looking for ways to reach solutions independently
  • Strong excellent written and verbal communication skills

The base salary range for this full-time position in our San Francisco location is $50,000 - $74,000.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.