- Source and acquire quality candidates for high volume positions to meet hiring and activation goals
- Review applications and screen candidates
- Support candidates throughout the recruiting process
- Partner with other growth recruiters, ops leads and cross-functional leaders to understand Scale’s business needs, then devise and execute on the recruiting strategy needed to deliver on them.
- Follow and manage processes that will evolve over time as the company grows.
- Represent and champion the brand, promoting its value proposition to candidates and driving engagement.
- Represent Scale at occasional onsite growth recruiting events.
- 2+ years of recruiting/sourcing experience in a fast-paced, high-growth environment.
- Excellent written and verbal communication skills, with the ability to tailor messaging to diverse audiences
- Experience sourcing candidates and filling high volume roles
- Experience acting as the primary candidate liaison, delivering white-glove service through timely updates and personalized support throughout the interview process
- Previous experience in a start-up.
- Either experience managing a full-cycle recruiting experience, or a passion and ability to learn to do so.
- Experience with various tools such as Linkedin Recruiter, Clay, Modernloop, Gem
- Extreme attention to detail
- AI builder, AI-forward operator, or strong interest in agentic coding and experimenting with AI tooling
The hourly salary range for this position is $40 to $55/hr. This is a remote position with occasional travels required for onsite growth recruiting events. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
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
- 2+ years recruiting/sourcing experience in a fast-paced, high-growth environment
- Excellent written and verbal communication skills, with ability to tailor messaging
- Experience sourcing candidates and filling high volume roles
- Experience acting as the primary candidate liaison, delivering timely updates and personalized support
- Previous experience in a start-up
- Experience managing a full-cycle recruiting process or strong ability and interest to learn
- Experience with LinkedIn Recruiter, Clay, Modernloop, Gem
- Extreme attention to detail
- Interest or experience with AI tooling, agentic coding, or AI-forward operations
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.
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Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
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Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
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Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.
Scale AI Insights
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.
