Forward Deployed Engineer
New Today
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:
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
This role requires an entrepreneurial mindset. You will operate like a technical cofounder of an AI startup. Maybe that’s what you will become after cutting your teeth at Labelbox!
You will use a unique mix of engineering, product, and sales to deliver data on high stakes projects for Frontier AI labs - think Google, Meta, Amazon. 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.
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.
Solutions at Labelbox
At Labelbox Solutions, you'll be the bridge between our cutting-edge AI data infrastructure and the technical needs of frontier AI labs and enterprises. Working with our three integrated offerings—Enterprise Platform, Frontier Data Labeling, and Expert Marketplace—you'll architect comprehensive data strategies for some of the most advanced AI initiatives globally. You'll help customers implement transparent human data pipelines that deliver measurable improvements in model performance across multimodal, reasoning, coding, and multilingual use cases. Your expertise will directly impact how quickly organizations can scale their AI data operations, from complex project setup to expert team deployment, ensuring customers realize the full value of human-in-the-loop processes in advancing state-of-the-art AI.
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 like Google and ElevenLabs 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 USDLife 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’sJob 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.
- Location:
- San Francisco
- Category:
- Solutions
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