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Data Operations Engineer
| Company | Labelbox |
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| Location | San Francisco, CA, USA |
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| Salary | $70000 – $150000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level |
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Requirements
- 3+ years of working experience in a technical role interfacing with technical and non-technical folks.
- Bachelor’s Degree in Engineering, Computer Science, or a technical field.
- Proficiency in Python scripting and experience with automation of operational tasks.
- Experience with Labelbox or similar data annotation platforms.
- Strong analytical and problem-solving skills with a demonstrated ability to optimize processes.
- Experience with data pipelines and data workflow management.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- English fluency.
- Prior experience in a production or process engineering role, especially in data operations or similar environments.
- Knowledge of machine learning workflows and the data requirements for AI training.
- Knowledge of Statistical Analysis techniques to uncover bad patterns in human-labeled data.
- Understanding of project management methodologies and the ability to work collaboratively across teams.
Responsibilities
- Build, deploy, and maintain Python automation scripts and other tools to streamline the data annotation process, automate repetitive tasks, and reduce manual effort.
- Identify bottlenecks in the data labeling pipeline and implement solutions to enhance throughput, accuracy, and scalability of labeling operations.
- Work closely with the Project Management team to ensure that data labeling meets accuracy standards and troubleshoot any issues related to data quality.
- Plan quality assurance workflows to use GenAI and open-source models to find data anomalies.
- Set up monitoring tools to track the performance of data annotation operations, reporting key metrics and areas for improvement to leadership.
- Integrate and manage third-party api tools with Labelbox, ensuring seamless operation and data flow across platforms.
- Ability to build and maintain internal tools with retool and similar tools.
- Provide ongoing technical support to the project managers and labelers, assisting with technical challenges in Labelbox and associated tools.
Preferred Qualifications
No preferred qualifications provided.
