Search the 19 jobs at Labelbox

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 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 Sales Development Representative, you will manage sales pipelines, discover new leads, create outreach campaigns, qualify prospects, and collaborate with various teams to communicate Labelbox's value to customers. Your role focuses on supporting prospects in building generative AI products while meeting organizational goals and quotas.

As a Strategic Project Manager at Labelbox, you will lead high-impact projects in technology and AI, guiding cross-functional teams in data annotation projects, optimizing workflows, and communicating with stakeholders. You will tackle operational challenges with innovative solutions, driving excellence in AI alignment.

As a Strategic Project Manager at Labelbox, you will lead complex data annotation projects, manage cross-functional teams, optimize workflows, and drive project execution aligned with strategic goals. This role encourages innovative problem-solving and requires excellent communication skills to ensure high-quality outcomes in a fast-paced environment.

As a Solutions Engineer at Labelbox, you will enhance customer experiences by offering technical support, delivering product demonstrations, and establishing relationships with customer teams. You'll guide product teams through customer feedback and become an expert on Labelbox and partner products, focusing on customer value and optimal experiences.

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.

As a Workforce Project Manager at Labelbox, you will lead cross-functional efforts to create accurate datasets, manage large-scale operations between customer and workforce teams, and improve data quality. Your day-to-day will involve partner success models, performance assessment, and metrics analysis to ensure exceptional customer service and data delivery.

As a Workforce Project Manager at Labelbox, you will lead cross-functional initiatives to create and improve data labeling pipelines and manage partnerships with workforce teams. You will track performance metrics and implement operating models to enhance efficiency and customer satisfaction.

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.

The Strategic Account Executive at Labelbox focuses on developing and managing a sales pipeline for generative AI services, ensuring client satisfaction through collaboration with the Customer Success team, and coordinating post-sales efforts. The role involves extensive experience in consultative sales in the technology sector, specifically targeting executives at Fortune 500 companies.

The Strategic Account Executive will develop and manage a sales pipeline for generative AI solutions, strategically map stakeholders, lead the sales cycle, ensure client satisfaction, expand client accounts, and enhance the go-to-market strategy.

As a Senior Product Manager at Labelbox, you will improve enterprise software, ensuring it meets customer needs. Key responsibilities include engaging stakeholders, addressing customer issues, collaborating with teams, and turning product priorities into actionable strategies. You will also leverage your product management experience to maintain a competitive edge in the market.

The Director of Data Quality at Labelbox will lead and mentor the QA team, design and optimize QA policies, implement advanced QC methods, drive process improvements, analyze quality metrics, and ensure compliance with industry standards, all while aligning QA objectives with business strategy.

As the Director of Data Quality, you will lead and mentor the QA team, implement and optimize QA policies, drive process improvements, and align QA objectives with business strategies to ensure the highest quality training data for generative AI applications.

As the Director of Data Quality at Labelbox, you will lead a QA team, design and implement QA policies, apply advanced QC methods, and drive process improvements. You will analyze quality metrics, align QA objectives with business strategies, and represent QA in client meetings while ensuring compliance with industry standards.