Data Operations Engineer at Labelbox

At Labelbox, we serve as the data factory for generative AI, providing the high-quality training data necessary for both frontier and task-specific models. Our comprehensive platform merges on-demand labeling services with industry-leading software to give our clients unmatched transparency and control. Backed by major investors like Andreessen Horowitz, SoftBank, and Databricks Ventures, we support a wide range of Fortune 500 enterprises and top-tier AI labs. We are looking for passionate individuals to join our mission of building the foundation for the next generation of artificial intelligence.

What is this role?

We are looking for a Data Operations Engineer to join our team in a full-time, mid-level capacity. This is a hybrid role that offers the flexibility of remote work while maintaining a focus on collaborative connection. You will be instrumental in maintaining and scaling our data annotation production processes, ensuring that our workflows remain efficient and highly accurate.

What will you do?

• Develop and maintain Python scripts and custom tools to automate repetitive tasks and streamline our data annotation workflows.
• Analyze our data pipelines to identify bottlenecks, implementing technical solutions that improve overall throughput and scalability.
• Collaborate with our quality assurance teams to troubleshoot data issues and ensure that all labeling outputs meet our high standards for accuracy.

What makes you a great fit?

To succeed in this role, you should have a strong technical background and a passion for solving complex operational problems. We are looking for the following qualifications:

• At least 2 years of experience in a technical role, supported by a degree in Engineering, Computer Science, Data Science, or a related field.
• Strong proficiency in Python scripting and SQL.
• Hands-on experience with data pipelines, workflow management, and cloud platforms like AWS, GCP, or Azure.
• Familiarity with data annotation platforms, specifically Labelbox.
• Excellent problem-solving abilities and a track record of optimizing technical processes.
• Fluency in English.

What's in it for you?

We believe in transparent compensation and offer an annual base salary range of $70,000 to $90,000 USD for candidates based in the United States. In addition to competitive pay, you will enjoy the following benefits:

• Hybrid work environment that balances flexibility with team collaboration.
• Opportunities for remote work.