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.

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

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

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 $130,000-$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

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In this role, you will lead the design, development, and integration of Omen's advanced electric propulsion system. You will own the electric powertrain architecture from concept through production, optimizing for the unique demands of a tail-sitter platform including VTOL operations, efficient cruise flight, and charging.

As the electric propulsion Lead, you will work closely with program leadership and cross-functional teammates to deliver a high-performance, reliable solution which seamlessly integrates with the rotor systems, powerplant, and cooling systems. You will own the propeller drive system as well as electric components of the on-board power generation, including battery, power management, and power conversion.

You will drive component selection, manage supplier relationships, lead testing and validation efforts, and ensure the electric propulsion systems meet performance and integration requirements. This is a hands-on high ownership role where you will tackle hard technical problems, be the expert, and play a critical role in bringing a groundbreaking aircraft platform to operational reality.

Join our dynamic team and help us build the next generation of autonomous flight systems.

Key Responsibilities:

• Own the design of electric propulsion systems including motors, battery, inverters, and high voltage power management
• Lead electric performance analysis, voltage and thermal modeling, and energy optimization studies to meet mission requirements for electrical loads.
• Lead the development and execution of test plans for electric propulsion subsystems and combined power generation, including ground test stands, HILs, and flight test, building up to system verification to ensure compliance with project goals and industry standards
• Define and validate technical performance measures including power, efficiency, thermal limits, and fault tolerance across all operating modes
• Engage suppliers and create detailed technical specifications and interface control documents for electric propulsion components and assemblies as required
• Collaborate with other teams for solutions on system packaging, structural/thermal interfaces, and thrust/power control architectures
• Manage development schedules and technical risks in coordination with program management

Requirements:

• High-ownership and a bias toward action – if you see a problem, you want to fix it
• Bachelor's degree in Aerospace Engineering, Mechanical Engineer, Robotics, Physics, or related technical discipline
• 12+ professional years or be recognized as a seasoned expert with significant influence in their field
• Experience in engineering leadership and project execution for aerospace, automotive, or defense sectors with focus on electric or hybrid propulsion
• In-depth knowledge of electric motors, generators, power electronics, battery systems, thermal management, and energy storage architectures
• Hands-on experience with propulsion system development, testing, and integration for aerospace platforms
• Strong project management skills, with experience using tools like JIRA and Confluence, and knowledge of Agile and Waterfall methodologies
• Exceptional communication and stakeholder management abilities, capable of engaging effectively with both technical teams and non-technical partners
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Travel to test sites and vendors as needed

Preferred Qualifications:

• Direct experience developing hybrid-electric or electric propulsion systems for aircraft, rotorcraft, eVTOL, or UAS platforms
• Proven track record leading propulsion systems through full qualification campaigns from early development through flight test and production
• Experience with propulsion system modeling and simulation tools
• Familiarity with aviation environmental and EMI standards (MIL-STD-810, MIL-STD-461, DO-160, or equivalent) and qualification campaigns for flight hardware
• Experience with Formula SAE, Baja SAE, Design Build Fly, or similar competitive engineering programs demonstrating hands-on vehicle integration experience

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