Scale AI OPT Eligible Jobs USA
Scale AI hires OPT students across engineering, machine learning, and data operations roles, making it a strong landing spot for F-1 graduates in AI-adjacent fields. The company's history of H-1B visa sponsorship signals a genuine path from OPT to long-term status for high-performing hires.
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Get Access To All JobsINTRODUCTION
Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will be the primary owner of the customer relationship, managing ongoing projects and driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on-time. Within Scale you represent the customer, aligning their objectives to how Scale's operations and product teams execute and deliver. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, quality alignment, and customer follow-through is what makes customers successful and builds the trust that earns Scale more work. You will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners.
YOUR ROLE AND RESPONSIBILITIES
- Own end-to-end execution and delivery for assigned customer projects, from kickoff through completion and quality feedback
- Manage customer communication, action items, and follow-ups across multiple concurrent projects
- Monitor delivery against SLAs, budget, and quality standards, proactively identifying risks and escalating blockers with proposed solutions
- Review, track and improve operational performances and be obsessed with continuous improvement
- Partner cross-functionally with operations and planning teams to improve delivery efficiency and drive better outcomes for customers
BASIC QUALIFICATIONS
- 3 to 5 years of work experience, with experience in consulting, technical program management, or project coordination
- A track record of managing multiple concurrent workstreams with strong attention to detail and follow-through
- Experience in B2B client-facing roles where execution and delivery were core responsibilities
- An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
- A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field)
PREFERRED QUALIFICATIONS
- Familiarity with model and AI training workflows
- Work experience in a high-growth company environment, including working cross-functionally and wearing multiple hats
COMPENSATION
- 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, determined by work location and additional factors, including job-related skills, experience, 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.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,800—$201,000 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, Cisco, DLA Piper, 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 accommodations@scale.com. 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.
INTRODUCTION
Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will be the primary owner of the customer relationship, managing ongoing projects and driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on-time. Within Scale you represent the customer, aligning their objectives to how Scale's operations and product teams execute and deliver. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, quality alignment, and customer follow-through is what makes customers successful and builds the trust that earns Scale more work. You will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners.
YOUR ROLE AND RESPONSIBILITIES
- Own end-to-end execution and delivery for assigned customer projects, from kickoff through completion and quality feedback
- Manage customer communication, action items, and follow-ups across multiple concurrent projects
- Monitor delivery against SLAs, budget, and quality standards, proactively identifying risks and escalating blockers with proposed solutions
- Review, track and improve operational performances and be obsessed with continuous improvement
- Partner cross-functionally with operations and planning teams to improve delivery efficiency and drive better outcomes for customers
BASIC QUALIFICATIONS
- 3 to 5 years of work experience, with experience in consulting, technical program management, or project coordination
- A track record of managing multiple concurrent workstreams with strong attention to detail and follow-through
- Experience in B2B client-facing roles where execution and delivery were core responsibilities
- An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
- A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field)
PREFERRED QUALIFICATIONS
- Familiarity with model and AI training workflows
- Work experience in a high-growth company environment, including working cross-functionally and wearing multiple hats
COMPENSATION
- 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, determined by work location and additional factors, including job-related skills, experience, 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.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,800—$201,000 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, Cisco, DLA Piper, 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 accommodations@scale.com. 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.
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Get Access To All JobsTips for Finding Scale AI OPT Eligible Jobs USA
Align your degree to Scale AI's core roles
Scale AI's OPT-eligible roles cluster in software engineering, ML research, and data infrastructure. Cross-reference your degree field against O*NET occupation profiles for those titles before applying to confirm your coursework directly supports the specialty occupation standard Scale AI will rely on.
Confirm E-Verify enrollment before accepting an offer
STEM OPT requires your employer to be enrolled in E-Verify before your 24-month extension begins. Ask Scale AI's recruiting or HR team to confirm active enrollment status during the offer stage so you're not caught off-guard when your initial 12 months expire.
Submit your STEM OPT extension application early
USCIS recommends filing your STEM OPT extension at least 90 days before your current EAD expires. Your DSO must update your SEVIS record and issue a new I-20 first, so start that conversation with your school at least 30 days before the USCIS filing window opens.
Target Scale AI's applied AI and data teams directly
Scale AI's fastest-growing headcount sits in labeling infrastructure, trust and safety, and applied ML. OPT candidates who position their applications toward these teams rather than general software roles tend to find a shorter path from interview to offer at AI-focused companies like Scale AI.
Use Migrate Mate to research Scale AI's visa filing history
Before your interview, pull Scale AI's LCA and H-1B filing data through Migrate Mate to understand which job titles the company has sponsored before. That context lets you frame your role's specialty occupation fit using language that matches Scale AI's own prior filings.
Negotiate your start date around OPT activation timing
Your OPT EAD has a fixed start date that USCIS sets, and you can't work before it activates. When Scale AI extends an offer, give your recruiter a realistic start date that accounts for EAD processing time so the offer terms don't conflict with your authorized work start window.
Scale AI OPT Eligibility: Frequently Asked Questions
Does Scale AI sponsor OPT visas?
Scale AI doesn't sponsor OPT directly because OPT is work authorization USCIS grants to F-1 students, not a petition employers file. What Scale AI does is hire students who already hold an OPT EAD. For STEM OPT extensions, Scale AI's E-Verify enrollment is required, which the company maintains as part of standard hiring compliance.
Which roles at Scale AI typically hire OPT students?
Scale AI most consistently hires OPT students into software engineering, machine learning, and data operations roles. Positions tied to AI model evaluation, infrastructure tooling, and applied research tend to align well with STEM-designated degree fields. Roles in these teams are also the ones Scale AI has historically converted to H-1B sponsorship.
How do I navigate the OPT hiring process at Scale AI?
Apply with your OPT EAD already authorized or a clear activation date on record. Scale AI's recruiting team will verify your work authorization status during screening. Use Migrate Mate to review Scale AI's prior H-1B filings by job title so you can speak specifically to how your role fits the company's sponsorship track record.
How do I plan my STEM OPT extension timeline at Scale AI?
File your STEM OPT extension with USCIS at least 90 days before your current EAD expires to preserve continuous work authorization under cap-gap rules. Your school's DSO initiates the process by issuing an updated I-20, so notify them 120 days out. Confirm Scale AI's active E-Verify enrollment before submitting to USCIS.
Does working at Scale AI on OPT improve my H-1B chances?
Working at Scale AI on OPT strengthens your H-1B position if Scale AI agrees to sponsor your petition. H-1B selection is still subject to the annual lottery, but cap-exempt filing categories and premium processing options are available. Scale AI's history of sponsoring technical roles signals genuine employer commitment to retaining OPT hires long-term.
How does Scale AI hire OPT students?
OPT is work authorization granted directly to F-1 students after graduation — no employer petition is required. Scale AI can hire OPT students as soon as their EAD card is approved. STEM degree holders can extend OPT by 24 months when their employer is enrolled in E-Verify. Most companies that hire OPT students also support the transition to H-1B when the student's OPT period is ending. Check Scale AI's individual postings on Migrate Mate to confirm OPT acceptance per role.