Search the 17 jobs at Labelbox

As a Workforce Project Manager at Labelbox, you will oversee the creation of accurate datasets by working cross-functionally with various teams and managing large-scale data operations. Key responsibilities include establishing operational models, tracking metrics for customer service, improving data labeling quality, and developing workflows for data management.

As a Workforce Project Manager at Labelbox, you'll oversee project outcomes by collaborating across engineering, customer, and data labeling teams. Your responsibilities include creating scalable operating models, tracking performance metrics, and ensuring high-quality data labeling services for clients. You'll also develop policies and workflows to optimize data management and enhance customer experiences.

As a Strategic Account Executive at Labelbox, you will develop a sales pipeline targeting key accounts in generative AI, strategically map stakeholders, lead the sales cycle, ensure client satisfaction, and expand client accounts while enhancing the go-to-market strategy.

As a Strategic Account Executive, you will develop a sales pipeline targeting generative AI solutions, manage sales cycles for high-value contracts, enhance client relationships, and collaborate to ensure successful AI deployments. You'll also contribute to go-to-market strategies and assist in developing sales materials.

As a Senior Product Manager at Labelbox, you will lead the improvement of the enterprise software, engaging with stakeholders to ensure it meets customer needs. You will transform user challenges into product strategies, collaborate with design and engineering teams, and drive initiatives aligning with the company's long-term goals.

As a Director of Data Quality at Labelbox, you will lead a high-performing QA team, implement QC methods, drive process improvements, and align QA strategies with business goals. You will also be involved in optimizing quality as well as maintaining compliance with industry standards.

As the Director of Data Quality, you will lead a high-performing QA team by optimizing QA policies and processes, implementing advanced QA methods, and driving initiatives for quality improvements. You will collaborate with various teams to ensure high-quality data annotation and maintain compliance with industry standards while presenting insights to senior management.

As Director of Data Quality at Labelbox, you will lead a high-performing QA team, implementing and optimizing QA policies to ensure high data quality standards. You will analyze quality metrics, drive process improvements and automation, and align QA objectives with the overall business strategy. Additionally, you will foster a culture of excellence and compliance with industry standards while mentoring team members.

As a Data Operations Engineer, you will optimize and maintain data labeling workflows using Labelbox, develop Python scripts for task automation, troubleshoot issues, enhance data quality, and provide technical support to teams. You will focus on improving efficiency and scalability of data annotation operations.

As a Data Operations Engineer at Labelbox, you will optimize data annotation workflows by scripting in Python, maintaining tools, troubleshooting issues in the labeling process, and collaborating with quality assurance to ensure data accuracy, ultimately driving efficiency in data operations.

As a Full-Stack Engineer at Alignerr, you will develop user-friendly interfaces and robust systems for AI training. You will collaborate with engineers and product managers, tackle technical challenges, provide customer support, and drive process improvements. A significant focus will be on building scalable web applications and ensuring high-quality user experiences.

As a Sales Development Representative, you will manage your own sales pipeline, discover new leads, create outreach campaigns, and qualify prospects across various platforms. You'll work closely with the sales team and other departments to enhance communication and foster new sales opportunities while contributing to the value proposition of Labelbox to customers.

Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.

As a Senior Engineering Manager, you will lead the Alignerr engineering team, driving execution and technical direction, managing the team’s development cycles and performance while collaborating with cross-functional teams. You’ll engage in system design, project management, and contribute to optimizing infrastructure while staying informed of industry trends.

As a Strategic Account Executive at Labelbox, you will be responsible for meeting and exceeding quarterly bookings targets, developing pipeline plans, elevating Labelbox's visibility at large enterprises, and working closely with Engineering and Product teams to drive product strategy. Required qualifications include 5+ years of closing sales experience, managing consultative sales cycles with Fortune 500 executives, and excellent communication skills.

As a Sales Development Representative at Labelbox, you will be responsible for managing sales pipelines, discovering new leads, creating outreach campaigns, qualifying prospects, and achieving organizational goals. You will collaborate with Sales, Marketing, Product, and Support teams to communicate the value of Labelbox to customers and assist them in building AI products.

Join the Perception team at Labelbox as a Senior Fullstack Engineer, responsible for developing annotation tools for cutting-edge AI systems. Collaborate with engineers and designers to build scalable systems and innovative components. Solve complex technical challenges, address customer inquiries, and drive process improvements within the engineering team. Must have 5+ years of full-stack engineering experience with expertise in Typescript, Node.js, GraphQL, Python, Kubernetes, and GCP.