As a Senior Backend Engineer at Labelbox, you will lead the development of core services related to data I/O, streaming, and storage. Your role involves building large-scale workflows, enhancing data infrastructure, and collaborating with product teams to develop new features for AI applications.

As an Applied Research Engineer, you will develop systems for high-quality human-in-the-loop data, working on AI training processes like RLHF. Responsibilities include designing algorithms, measuring data quality, creating AI tools, and publishing research findings while collaborating with teams and engaging with the AI community.

As a Data Operations Engineer at Labelbox, you will optimize data labeling workflows, utilizing Python and SQL to automate tasks and troubleshoot issues. You'll improve data quality, ensure efficient operations, and integrate third-party tools. Your role emphasizes building and maintaining tools, technical support for labelers, and monitoring performance metrics.

As a Frontier Data Engineer at Labelbox, you will work with AI labs to create high-quality datasets for machine learning models. Your role involves building data pipelines, analyzing data quality, and collaborating with engineering to enhance data tools and workflows.

As a Senior Software Engineer focusing on AI Platform Data Infrastructure at Labelbox, you will design and develop scalable data systems, optimize database performance, and contribute to AI workflows. You will mentor junior engineers and collaborate with cross-functional teams to enhance platform customer success and drive innovations in data infrastructure.

The Associate Partner at Labelbox will develop a sales pipeline for generative AI solutions, manage the sales cycle, enhance client satisfaction, and expand client accounts. The role requires building relationships with executives and coordinating post-sales efforts while optimizing the sales process with compelling demonstrations and tools.

As a Senior Backend Engineer, you will develop core services for data I/O, streaming, and storage in distributed systems, lead large-scale workflow orchestration, and enhance data infrastructure for AI model development while collaborating with cross-functional teams.

As an AI Full-Stack Engineer, you will develop user-friendly interfaces and scalable systems, working with LLMs and collaborating with teams to enhance AI training and customer experience while driving impactful changes and documenting solutions.

As a Machine Learning Support Engineer, you'll support customers in using Labelbox's products by providing guidance, resolving issues via live chat, and understanding their success metrics. You'll monitor customer experiences, represent their needs internally, and propose solutions to improve product usage.

As a Support Specialist, you will manage support queries for Alignerrs via Intercom, ensuring optimal communication and experience. You'll respond to inquiries, escalate complex issues, assist in onboarding, maintain service standards, and collaborate with teams to improve support workflows.

As a Technical Recruiter at Labelbox, you will manage the full recruitment cycle for Engineering, Product, and Design teams. Your responsibilities include sourcing candidates, ensuring a positive candidate experience, collaborating with hiring managers, and tracking recruitment pipeline data.

The Business Recruiter will manage the full cycle recruiting process for Labelbox, focusing on building an exceptional team in the AI sector. Responsibilities include sourcing candidates, collaborating with hiring managers, and ensuring a positive candidate experience throughout the recruitment process.

As a Senior Engineering Manager at Labelbox, you will lead the Alignerr engineering team in developing a scalable platform for AI training services. Responsibilities include managing team dynamics, guiding technical execution, collaborating with cross-functional teams, and overseeing project lifecycles. You're expected to have a strong background in full-stack development and AI systems to guide your team effectively.

As a Sales Development Representative at Labelbox, you will manage sales pipelines, discover leads through research, create outreach campaigns, qualify prospects, and collaborate with the sales team. Your role will involve direct interaction with customers to communicate the value of Labelbox's AI technology to assist in their development process.

As a Strategic Account Executive, you will develop a sales pipeline for generative AI solutions, manage the sales cycle, ensure client satisfaction, expand client accounts, and enhance the go-to-market strategy. You will work closely with Fortune 500 executives and ensure seamless transitions to long-term service contracts.

As an AI Full-Stack Engineer, you'll develop user-friendly interfaces and robust systems, collaborating with engineers and product managers to build components for the Labelbox AI platform. You'll tackle complex challenges, ensure smooth operations, and lead process improvements while documenting technical solutions.

The Technical Program Manager at Labelbox will lead cross-functional initiatives in AI, focusing on data annotation projects. Responsibilities include managing AI projects, collaborating with AI labs, translating strategic goals into actionable plans, and providing regular updates to stakeholders.