Labelbox Jobs Hiring Now
Labelbox is hiring for 5 open roles on Migrate Mate as of July 16, 2026, concentrated in technical product & program management and project & program management, with listed salaries up to about $220,000. Migrate Mate updates Labelbox's live openings daily. Labelbox builds a data labeling and training data platform that helps organizations develop, evaluate, and improve artificial intelligence and machine learning models.
Find Labelbox JobsOverview
Labelbox hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 5
- Top team
- Technical Product & Program Management
- Seniority
- Manager level or above
- Work type
- 100% remote or hybrid
- Top location
- San Francisco Bay Area
- Salary range
- $120,000–$220,000
Listed salaries for Labelbox roles on Migrate Mate range from about $120,000 to $220,000 per year across 5 open roles, as of July 16, 2026.
Open Roles at Labelbox
Showing 5 of 5+ Labelbox jobs
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, you are in the unique position of helping Labelbox’s customers build and operationalize transformational AI technology. As part of the enterprise team, we are not just helping someone use our application and services, we are collaborating with business and technical teams as they build pioneering technology, often the first of its kind for their industry. You will use a unique mix of engineering, product, and sales skills to deliver data on high stakes projects for leading enterprise customers. As the technical expert post-sale, you’ll guide customers through implementation and on-going management of their Labelbox pipelines, provide best practices for achieving their ML goals, and identify solutions to any technical obstacles they encounter along the way.
Your day to day:
- Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive the value of Labelbox
- Help organizations build cutting-edge AI applications by staying current with the emerging state of the ML dev lifecycle where training data is the source code
- Guide customers through architecture designs identifying solutions for various environments including SaaS integration, API, SSO, and security
- Continuously learn and improve skills in software, computer vision, and ML
- Provide mentorship and guidance through demonstrable knowledge of Labelbox’s products, solutions and methodologies
- Partner with Account Executives to identify growth opportunities and accurately forecast renewals
- Manage onboarding, implementation, for Labelbox’s highly technical customers
- Partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers
- Be an internal advocate for customer needs and feature requests across product, internal support, engineering and Sales
- Help drive customer references and case studies
About You
- Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
- 2+ years of professional experience in a related field.
- 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.
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
$120,000—$160,000 USD
Life at Labelbox
- Location: Join our dedicated tech hub in San Francisco
- Work Style: Hybrid model with 3 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, you are in the unique position of helping Labelbox’s customers build and operationalize transformational AI technology. As part of the enterprise team, we are not just helping someone use our application and services, we are collaborating with business and technical teams as they build pioneering technology, often the first of its kind for their industry. You will use a unique mix of engineering, product, and sales skills to deliver data on high stakes projects for leading enterprise customers. As the technical expert post-sale, you’ll guide customers through implementation and on-going management of their Labelbox pipelines, provide best practices for achieving their ML goals, and identify solutions to any technical obstacles they encounter along the way.
Your day to day:
- Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive the value of Labelbox
- Help organizations build cutting-edge AI applications by staying current with the emerging state of the ML dev lifecycle where training data is the source code
- Guide customers through architecture designs identifying solutions for various environments including SaaS integration, API, SSO, and security
- Continuously learn and improve skills in software, computer vision, and ML
- Provide mentorship and guidance through demonstrable knowledge of Labelbox’s products, solutions and methodologies
- Partner with Account Executives to identify growth opportunities and accurately forecast renewals
- Manage onboarding, implementation, for Labelbox’s highly technical customers
- Partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers
- Be an internal advocate for customer needs and feature requests across product, internal support, engineering and Sales
- Help drive customer references and case studies
About You
- Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
- 2+ years of professional experience in a related field.
- 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.
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
$120,000—$160,000 USD
Life at Labelbox
- Location: Join our dedicated tech hub in San Francisco
- Work Style: Hybrid model with 3 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
Working at Labelbox
Labelbox's 5 open roles are manager level or above, and about 100% are remote or hybrid. The most active teams are technical product & program management, project & program management, and sales. Labelbox provides a platform for creating and managing the training data that powers AI and machine learning applications, serving teams that build and refine models at scale. The company's open roles span technical program management, forward deployed engineering, and general management functions. Most Labelbox roles are based in San Francisco Bay Area.
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Browse jobs by roleLabelbox Jobs: Frequently Asked Questions
How many jobs is Labelbox hiring for right now?
Labelbox is hiring for 5 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in technical product & program management and project & program management. Labelbox's current postings include positions in engineering management, technical program management, and general management, reflecting an active hiring cycle across multiple functions.
What kinds of roles does Labelbox hire for?
The most active teams are technical product & program management, project & program management, and sales. Labelbox's current openings include forward deployed engineering, technical program management, and general management roles. The sample postings cover individual contributor and people-manager tracks within technical and operational functions. Most postings are manager level or above, so candidates with meaningful professional experience are a strong fit.
Are Labelbox jobs remote or in-person?
Mostly remote. About 100% of Labelbox's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in San Francisco Bay Area. Each Labelbox listing shows its work location so you can filter before applying.
How do I apply to a job at Labelbox?
Find a Labelbox role that matches your background on Migrate Mate, then follow the listing through to Labelbox's own careers page to submit your application directly. Labelbox manages its own hiring process, including application review, interviews, and offers, so all next steps after applying come from the company.
What do Labelbox jobs pay?
Listed salaries for Labelbox roles on Migrate Mate range from about $120,000 to $220,000 per year as of July 16, 2026, with most postings at manager level or above. Exact pay is set by Labelbox and shown on each listing.
Does Labelbox hire entry-level?
Most of Labelbox's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual Labelbox listings for stated experience requirements.
Where is Labelbox hiring?
Most Labelbox roles are based in San Francisco Bay Area, and about 100% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.