Labelbox Visa Sponsorship Jobs USA
Labelbox is an AI training data platform that has built a consistent sponsorship record across multiple visa categories, making it a notable option for international tech professionals. The company actively supports H-1B visa and Green Card pathways, signaling genuine long-term commitment to its international workforce.
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Get Access To All JobsShape the Future of AI
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Labelbox
We're the only company offering three integrated solutions for frontier AI development:
-
Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
-
Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
-
Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
-
High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
-
Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
-
Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
-
Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
-
Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
About the role
As a Forward Deployed Engineer Intern, you will work alongside a senior FDE on real client engagements with leading AI labs. You will own concrete pieces of those engagements - writing scripts to process and analyze data, building automated quality checks, and helping validate that the data we deliver is good enough to ship. The work is hands-on, fast-paced, and rarely arrives with a complete spec.
This is not a shadowing internship. You will be expected to take ownership of your projects, work through ambiguity with your manager, and ship work that real clients depend on. If you do well, you will see your work translate directly into how frontier AI models are trained and evaluated.
What you'll do
-
Work alongside a senior FDE on live client engagements, owning specific workstreams end-to-end.
-
Write scripts to process, transform, and analyze data for client deliverables.
-
Build automated quality checks and serve as a second set of eyes on the data we ship.
-
Take ambiguous, partially-defined requirements and turn them into something concrete.
-
Read existing code, extend it, and improve it - most of what you build will plug into systems that already exist.
-
Drive your work forward without needing daily check-ins. Proactively share progress, flag blockers, and ask for input when you need it.
What we're looking for
We care more about how you think than about a specific list of credentials. The things below are what tend to make interns successful in this role:
-
Strong Python skills, especially for data work. You should be comfortable picking up a messy dataset and figuring out what is in it.
-
Familiarity with LLMs from hands-on experience, not just coursework. You have built something with them and have iterated on prompts to make them do what you want.
-
Strong analytical thinking. You can look at data, spot what is off, and ask the right questions about whether a result is real or noise.
-
Strong written and verbal communication. You can write a clear update, explain technical work to non-technical stakeholders, and ask a well-formed question when you are stuck.
-
You finish what you start. When you take on a task, you see it through to the end - including the parts that are not interesting.
-
Fast learner. The tools, frameworks, and benchmarks you will encounter change quickly. You pick them up without being walked through them.
-
High agency and ownership. You take responsibility for your work, push it forward without being prompted, and flag issues early rather than late.
Who you are
-
Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related technical field.
-
Genuinely curious about AI and how frontier models are built.
-
You like being the person who turns “we should look into this” into something concrete.
-
You work independently and communicate generously. You move fast on your own.
-
Receptive to feedback.
Why this role
FDE work at Labelbox is a spot where it spans engineering, research, and direct client work. As an intern, you will get exposure to all three - and to the kinds of problems that most engineering internships do not touch. You will work with people who care about getting the technical details right and who will give you the room to do the same.
Compensation
This is a paid internship with an hourly rate of $50-$70 per hour.
Life at Labelbox
-
Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
-
Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
-
Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
-
Growth: Career advancement opportunities directly tied to your impact
-
Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
Shape the Future of AI
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Labelbox
We're the only company offering three integrated solutions for frontier AI development:
-
Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
-
Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
-
Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
-
High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
-
Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
-
Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
-
Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
-
Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
About the role
As a Forward Deployed Engineer Intern, you will work alongside a senior FDE on real client engagements with leading AI labs. You will own concrete pieces of those engagements - writing scripts to process and analyze data, building automated quality checks, and helping validate that the data we deliver is good enough to ship. The work is hands-on, fast-paced, and rarely arrives with a complete spec.
This is not a shadowing internship. You will be expected to take ownership of your projects, work through ambiguity with your manager, and ship work that real clients depend on. If you do well, you will see your work translate directly into how frontier AI models are trained and evaluated.
What you'll do
-
Work alongside a senior FDE on live client engagements, owning specific workstreams end-to-end.
-
Write scripts to process, transform, and analyze data for client deliverables.
-
Build automated quality checks and serve as a second set of eyes on the data we ship.
-
Take ambiguous, partially-defined requirements and turn them into something concrete.
-
Read existing code, extend it, and improve it - most of what you build will plug into systems that already exist.
-
Drive your work forward without needing daily check-ins. Proactively share progress, flag blockers, and ask for input when you need it.
What we're looking for
We care more about how you think than about a specific list of credentials. The things below are what tend to make interns successful in this role:
-
Strong Python skills, especially for data work. You should be comfortable picking up a messy dataset and figuring out what is in it.
-
Familiarity with LLMs from hands-on experience, not just coursework. You have built something with them and have iterated on prompts to make them do what you want.
-
Strong analytical thinking. You can look at data, spot what is off, and ask the right questions about whether a result is real or noise.
-
Strong written and verbal communication. You can write a clear update, explain technical work to non-technical stakeholders, and ask a well-formed question when you are stuck.
-
You finish what you start. When you take on a task, you see it through to the end - including the parts that are not interesting.
-
Fast learner. The tools, frameworks, and benchmarks you will encounter change quickly. You pick them up without being walked through them.
-
High agency and ownership. You take responsibility for your work, push it forward without being prompted, and flag issues early rather than late.
Who you are
-
Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related technical field.
-
Genuinely curious about AI and how frontier models are built.
-
You like being the person who turns “we should look into this” into something concrete.
-
You work independently and communicate generously. You move fast on your own.
-
Receptive to feedback.
Why this role
FDE work at Labelbox is a spot where it spans engineering, research, and direct client work. As an intern, you will get exposure to all three - and to the kinds of problems that most engineering internships do not touch. You will work with people who care about getting the technical details right and who will give you the room to do the same.
Compensation
This is a paid internship with an hourly rate of $50-$70 per hour.
Life at Labelbox
-
Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
-
Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
-
Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
-
Growth: Career advancement opportunities directly tied to your impact
-
Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
Job Roles at Labelbox
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Get Access To All JobsTips for Finding Labelbox Visa Sponsorship Jobs USA
Target roles in AI, ML, and data infrastructure
Labelbox's core product sits at the intersection of machine learning and data annotation tooling. Engineering, data science, and product roles aligned with AI infrastructure are where sponsorship activity tends to concentrate, focus your application on these areas.
Understand which visa types Labelbox supports
Labelbox sponsors H-1B, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways. Knowing which category fits your situation before you apply lets you ask informed questions during interviews and shows the hiring team you understand the process.
Treat OPT and CPT as your entry point
Labelbox's willingness to hire on F-1 OPT and CPT suggests the company is open to building relationships with international candidates early. An OPT role can position you for a future H-1B sponsorship as your employment continues.
Ask about Green Card timelines during late-stage interviews
Labelbox has an active Green Card track alongside its H-1B program, indicating long-term investment in immigrant workers. Raising the Green Card pathway in final-round conversations, not early screening, shows maturity and signals you're thinking about tenure.
Filter for verified sponsors before you apply
Applying to companies without confirmed sponsorship history wastes time you may not have on OPT or a grace period. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and go straight to roles where Labelbox is actively hiring.
Align your application with Labelbox's enterprise and startup customer base
Labelbox serves both fast-growing startups and large enterprise clients. Candidates with experience working across varying scales of data pipelines or ML operations tend to be competitive, frame your background accordingly in your resume and interviews.
Frequently Asked Questions
Does Labelbox sponsor H-1B visas?
Yes, Labelbox sponsors H-1B visas and has an active track record of doing so. The company's sponsorship activity spans both initial H-1B filings and extensions, suggesting ongoing commitment to retaining international talent. Roles in engineering and machine learning are the most common pathways for H-1B sponsorship at the company.
Which visa types does Labelbox sponsor?
Labelbox sponsors a range of visa categories including H-1B, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card (EB-2 and EB-3). This breadth is a strong signal for international candidates at different stages, whether you're a student on OPT exploring your first role or a mid-career professional pursuing permanent residence, Labelbox has supported applicants across these pathways.
What types of roles at Labelbox are most likely to lead to visa sponsorship?
Sponsorship at Labelbox tends to align with technical and product-focused roles, particularly in software engineering, machine learning, data infrastructure, and product management. These are the functions most closely tied to building and scaling Labelbox's AI training platform. Non-technical roles may have more limited sponsorship availability, so engineering and ML candidates are best positioned.
How do I find open roles at Labelbox that offer visa sponsorship?
The most reliable approach is to use a platform that tracks verified sponsorship history rather than relying on job listings that may not disclose it. Migrate Mate lets you browse Labelbox's open positions filtered by sponsorship eligibility, so you can identify roles where the company has a documented track record before investing time in the application process.
How do I approach the application process at Labelbox as an international candidate?
Be upfront about your visa status in early conversations, Labelbox's sponsorship history across multiple categories suggests the recruiting team is accustomed to these discussions. Research the specific visa category that applies to your situation before your first interview, and save questions about Green Card timelines or H-1B cap exemptions for later-stage conversations when an offer is more likely.