Recruiting Coordinator, Contract

Posted 13 Hours Ago
Be an Early Applicant
2 Locations
In-Office
76K-90K Annually
Junior
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Coordinate and schedule interviews across time zones, manage cancellations/reschedules, create high-touch candidate experiences (virtual and in-person), collaborate with recruiters and hiring managers, and support Recruiting Operations to improve workflows and interviewer/candidate experience.
Summary Generated by Built In

About The Team:

To help achieve our mission, we are looking for a Recruiting Coordinator to join our team. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Recruiting Coordinators who join today will help schedule and coordinate interviews, provide exceptional candidate experience, and help develop strategies that will scale alongside the new challenges we’re facing. Many of our greatest challenges are yet to be solved, and we're looking to hire a Recruiting Coordinator who is excited to tackle them.

About the Role:

We are looking for a talented Recruiting Coordinator on a 6 Month Contract (with possibility of extension or conversion given further business need). This is a hybrid role (3 days per week in office) based in our San Francisco or New York City office 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:

  • Schedule, coordinate, and confirm candidate interviews, handling cancellations and reschedules promptly across multiple time zones
  • Collaborate and communicate effectively with recruiters, hiring managers, and business leaders to ensure smooth interview processes
  • Create a welcoming and high-touch candidate experience for both virtual and in-person interviews
  • Support Recruiting Operations on initiatives related to improving coordination workflows, candidate experience and interviewer experience

Ideally you have:

  • 1-2 years of relevant experience; scheduling high volume (100+ interview events a week) and tech industry experience are a plus
  • Familiarity with Greenhouse, ModernLoop, or similar ATS/scheduling tools
  • A highly organized and process-driven approach to work, ensuring SLAs are met and work is completed efficiently and accurately
  • A curious and proactive mindset, leveraging AI tools and technology to identify opportunities for process improvement and greater efficiency

This is a Contract role, the salary range for this position is $35-40 per hour. This position is tied to our San Francsicso or New York office and requires coming into the office 3 times a week. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$76,000$90,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We 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 [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

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 and sharing with our affiliates. 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. Please see our privacy policy for additional information.

Skills Required

  • 1-2 years of relevant recruiting or coordination experience
  • Experience scheduling high-volume interview events (100+ per week)
  • Familiarity with Greenhouse, ModernLoop, or similar ATS/scheduling tools
  • Highly organized, process-driven approach with strong SLA adherence
  • Experience collaborating effectively with recruiters, hiring managers, and business leaders
  • Ability to work hybrid (in-office 3 days/week) in San Francisco or New York City
  • Curious, proactive mindset and willingness to leverage AI tools to improve processes

Scale AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.

  • Healthcare Strength Healthcare coverage is described as comprehensive across medical, dental, and vision, with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
  • Equity Value & Accessibility Equity-based compensation is included in eligible packages, positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
  • Leave & Time Off Breadth Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.

Scale AI Insights

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The Company
HQ: San Francisco, CA
523 Employees
Year Founded: 2016

What We Do

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.

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