Scale AI Visa Sponsorship Jobs USA
Scale AI is a high-growth AI data platform company with a strong track record of sponsoring international talent across multiple visa categories, including H-1B visa, E-3 visa, and Green Card pathways. For skilled professionals in AI, machine learning, and software engineering, Scale AI represents a serious sponsorship option worth targeting.
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Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.
This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering.
Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.
You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.
ROLE AND RESPONSIBILITIES
You will:
- Deploy flexibly into critical, fast-moving product initiatives across the CB organization
- Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.
- Lead architecture decisions for scalability, reliability, and performance
- Mentor and uplevel engineers across the team
- Partner with product and leadership to shape roadmap and priorities
- Own large, ambiguous problem spaces end-to-end
- Work across backend, frontend, and ML systems
BASIC QUALIFICATIONS
- 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
- Track record of shipping high-quality products and features at scale
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
PREFERRED QUALIFICATIONS
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 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
Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.
This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering.
Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.
You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.
ROLE AND RESPONSIBILITIES
You will:
- Deploy flexibly into critical, fast-moving product initiatives across the CB organization
- Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.
- Lead architecture decisions for scalability, reliability, and performance
- Mentor and uplevel engineers across the team
- Partner with product and leadership to shape roadmap and priorities
- Own large, ambiguous problem spaces end-to-end
- Work across backend, frontend, and ML systems
BASIC QUALIFICATIONS
- 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
- Track record of shipping high-quality products and features at scale
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
PREFERRED QUALIFICATIONS
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 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.
Job Roles at Scale AI
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Get Access To All JobsTips for Finding Scale AI Visa Sponsorship Jobs USA
Target roles in AI infrastructure and data engineering
Scale AI's core business is training data for AI systems, so roles in machine learning, data annotation infrastructure, and software engineering are where sponsorship activity concentrates. Align your application to these technical pillars for the strongest fit.
Australian citizens should ask about the E-3 pathway
Scale AI has sponsored E-3 visas, making it a viable option for Australian nationals who want to avoid H-1B lottery risk. Confirm early in recruiting conversations whether the role qualifies as a specialty occupation under E-3 requirements.
Understand that Scale AI sponsors across multiple visa categories
Beyond H-1B, Scale AI has supported F-1 OPT, TN, and Green Card sponsorship. Knowing which category fits your situation before applying helps you ask the right questions and signals immigration awareness to recruiters.
Bring up sponsorship during the offer stage, not before
At a company with Scale AI's hiring sophistication, immigration conversations are best reserved for the offer negotiation stage. Raising sponsorship too early can shift focus away from your technical qualifications, which should lead the conversation.
Use Migrate Mate to find verified Scale AI openings
Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find Scale AI roles confirmed to support international candidates. This saves time compared to guessing which postings are actually sponsorship-eligible.
Prepare for a technical-first hiring process
Scale AI recruits heavily for AI and software roles with rigorous technical interviews. International candidates should invest preparation time in system design and machine learning fundamentals, strong technical performance is what converts sponsorship willingness into an actual offer.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas?
Yes, Scale AI sponsors H-1B visas and has done so consistently, making it one of the more active sponsors in the AI and technology sector. Sponsorship is concentrated in technical roles such as software engineering, machine learning, and data infrastructure. If you're applying for a qualifying specialty occupation role, it's worth confirming sponsorship eligibility directly with the recruiter during the offer stage.
Which visa types does Scale AI sponsor?
Scale AI sponsors a broad range of visa categories including H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3. This makes Scale AI a strong option for international candidates across different nationalities and immigration situations, from students finishing OPT to professionals seeking long-term permanent residence sponsorship.
Which departments or roles at Scale AI are most likely to receive visa sponsorship?
Sponsorship at Scale AI is most common in technical departments, particularly software engineering, machine learning engineering, and data operations roles that sit at the core of their AI data platform business. Research and applied AI positions also attract sponsorship. Nontechnical roles such as sales or marketing are less likely to qualify, though it depends on the specific position and immigration category.
How do I find Scale AI jobs that offer visa sponsorship?
Migrate Mate is the most reliable way to find Scale AI roles confirmed to support visa sponsorship. The platform filters by verified sponsorship history, so you're not guessing whether a posting is sponsorship-eligible. Once you identify a relevant role, review the job description for specialty occupation signals, a degree requirement in a specific field is a strong indicator the role can support H-1B or E-3 sponsorship.
How do I approach the sponsorship conversation when applying to Scale AI?
Wait until you have a verbal or written offer before raising visa sponsorship directly. Scale AI has a structured, technically intensive hiring process, and the strongest candidates lead with their qualifications rather than immigration requirements. Once an offer is extended, ask the recruiting team which visa categories the role supports and whether the company works with outside immigration counsel, most companies at Scale AI's stage do.