Labelbox Visa Sponsorship 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 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.
Role Overview
Get an inside look and hear directly from our current Forward Deployed Engineers here !
This role requires an entrepreneurial mindset. You will operate like a technical cofounder: with high agency, deep technical engagement, and a bias for action. You will use a unique mix of engineering, product, and sales to deliver data on high stakes projects for leading frontier AI labs. You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model evals, supervised finetuning, or ground truth data for advanced and emerging reinforcement learning techniques.
Your Impact
Understand the Data Needs of AI Leaders: Work directly with the most advanced AI labs to define and refine data strategies.
Design and Operate Human Data Pipelines: Build scalable, high-quality data pipelines to power next-gen AI.
Develop and Optimize Code: Write Python scripts for data processing and quality analysis.
Shape the Future of AI Infrastructure: Define engineering requirements to improve human data tools and workflows.
What You Bring
Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
Proficiency in Python and data analysis.
Prior experience leading LLM projects.
Exceptional communication skills: ability to convey complex technical concepts clearly.
Strong project management and organizational skills.
Passion for AI and the intersection of technology, product, and customer needs.
Alignerr Services at Labelbox
As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers, which include the majority of leading AI labs and AI disruptors, achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range $140,000—$200,000 USD
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.
Role Overview
Get an inside look and hear directly from our current Forward Deployed Engineers here !
This role requires an entrepreneurial mindset. You will operate like a technical cofounder: with high agency, deep technical engagement, and a bias for action. You will use a unique mix of engineering, product, and sales to deliver data on high stakes projects for leading frontier AI labs. You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model evals, supervised finetuning, or ground truth data for advanced and emerging reinforcement learning techniques.
Your Impact
Understand the Data Needs of AI Leaders: Work directly with the most advanced AI labs to define and refine data strategies.
Design and Operate Human Data Pipelines: Build scalable, high-quality data pipelines to power next-gen AI.
Develop and Optimize Code: Write Python scripts for data processing and quality analysis.
Shape the Future of AI Infrastructure: Define engineering requirements to improve human data tools and workflows.
What You Bring
Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
Proficiency in Python and data analysis.
Prior experience leading LLM projects.
Exceptional communication skills: ability to convey complex technical concepts clearly.
Strong project management and organizational skills.
Passion for AI and the intersection of technology, product, and customer needs.
Alignerr Services at Labelbox
As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers, which include the majority of leading AI labs and AI disruptors, achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range $140,000—$200,000 USD
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 Companies
How to Get Visa Sponsorship in Labelbox Visa Sponsorship 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.
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.
Labelbox jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently 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, F-1 OPT, F-1 CPT, J-1, 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.
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