Data Operations Engineer – United States – Remote

Labelbox is a leading data platform powering generative AI, delivering high-quality training data for both frontier and task-specific AI models. Our comprehensive platform combines on-demand labeling services with an industry-leading data labeling solution. Our Boost labeling service is supported by the Alignerr community, which consists of highly-educated experts across a wide range of advanced subjects and languages. These experts are available on-demand to quickly generate data for supervised fine-tuning, RLHF, and other applications. With our software-first approach, Labelbox offers unparalleled control and transparency throughout the labeling process, enabling the generation of high-quality, consistent data at scale.

Labelbox is backed by top investors, including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 companies and leading AI labs.

About the Role

We are looking for a skilled and detail-oriented Data Operations Engineer to support our data annotation production processes. In this role, you will play a crucial part in optimizing, maintaining, and scaling our data labeling workflows, primarily utilizing Labelbox. Your work will focus on ensuring that labelers can efficiently and accurately generate data by building tools, automating tasks, and resolving complex issues within the production pipeline. Your expertise in Python scripting and applying engineering principles to data operations will be critical in enhancing both the efficiency and quality of our projects.

Your Day-to-Day Responsibilities

• Develop, deploy, and maintain Python scripts and tools to streamline the data annotation process, automate repetitive tasks, and minimize manual effort.
• Identify bottlenecks in the data labeling pipeline and implement solutions to increase throughput, accuracy, and scalability of labeling operations.
• Collaborate closely with the quality assurance team to ensure data labeling meets accuracy standards and address any data quality issues.
• Integrate and manage third-party tools with Labelbox, ensuring smooth operation and data flow across platforms.
• Provide ongoing technical support to project managers and labelers, resolving technical challenges related to Labelbox and other associated tools.
• Set up monitoring tools to track the performance of data annotation operations, providing key metrics and identifying areas for improvement.

About You

• 2+ years of experience in a technical role.
• A Bachelor’s Degree in Engineering, Computer Science, Data Science, or a related technical field.
• Proficiency in Python scripting and experience automating operational tasks.
• Proficiency in SQL.
• Experience with Labelbox or similar data annotation platforms.
• Strong analytical and problem-solving skills with a proven ability to optimize processes.
• Experience with data pipelines and workflow management.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Fluency in English.

Nice to Have

• Prior experience in production or process engineering, particularly in data operations or similar environments.
• Knowledge of machine learning workflows and the data requirements for AI training.
• Understanding of project management methodologies and the ability to collaborate effectively across teams.

Compensation

At Labelbox, we are committed to pay parity and transparent compensation. The expected annual base salary range for United States-based candidates is:

$70,000—$90,000 USD

This range does not include any potential equity packages or additional benefits. Compensation may vary based on factors such as skills, experience, and location.

Work Environment

Labelbox offers a remote-friendly hybrid work model, focusing on collaboration and connection. While remote work is embraced, we have transitioned to a hybrid model with tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added benefit of periodic gatherings at our hubs.

Privacy Notice

Your personal data will be processed in accordance with Labelbox’s Job Applicant Privacy Notice. Any emails from Labelbox team members will come from a @labelbox.com email address. Please be cautious of any suspicious communications.

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