Skills & Technologies
Requirements
- Experience
- 2+ years
- Education
- Master's degree
Joblaze summary
In the role of Forward Deployed Engineer at Labelbox, the individual will engage directly with advanced AI labs to design and implement data pipelines that support high-stakes AI projects. Proficiency in Python and experience with large language models are essential, alongside strong communication and project management skills. This position is ideal for someone with a master's degree and a couple of years of relevant experience, who thrives in a fast-paced, startup-like environment where ownership and rapid execution are key.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Labelbox's career page.
- Labelbox has 9 other open roles including Forward Deployed Engineer Intern, Forward Deployed Engineering Manager, Managing Partner, Frontier AI.
- 2358 active Python roles on Joblaze right now.
- 624 active AI roles on Joblaze right now.
- 109 active LLM roles on Joblaze right now.
- Salary band is below the typical range for AI/ML (median ~$190,000).
Quick facts
- Is the Forward Deployed Engineer role remote?
- It's hybrid — Labelbox expects some on-site time in San Francisco Bay Area.
- What's the salary range?
- Labelbox lists $140,000–$200,000 for this role.
- How much experience is required?
- At least 2 years of relevant experience for this Forward Deployed Engineer role.
- Where is the role based?
- Labelbox is hiring for this position in San Francisco Bay Area.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Annotation tools, Multimodal AI, Data Pipelines, ML, LLM, Python.
- What seniority level is this role?
- Labelbox targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Forward Deployed Engineer role at Labelbox.
From the original posting
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.
- 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.
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.
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.