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Apple AIML - Technical Process Engineer Data Operations United States, Texas, Austin 733242104
04.01.2025
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Minimum Qualifications
- Develop and maintain tooling solutions that support efficient data annotation and labeling workflows.
- Automate and optimize annotation processes through custom scripts and automation frameworks (using SQL, Python, or other scripting languages).
- Partner with operations, engineering, and project management teams to understand annotation requirements and develop tools that meet specific project needs.
- Communicate with non-technical stakeholders to explain technical aspects of annotation tooling and incorporate feedback into tool design.
- Ensure that annotation tooling integrates seamlessly with data quality checks, improving data consistency and reducing errors during the annotation process.
- Modify and customize existing tools or scripts to adapt to changing requirements and optimize for scalability and performance.
- Continuously monitor the performance of annotation tools and workflows, identifying areas for improvement and implementing enhancements.
- Create and maintain clear, concise documentation for tools, processes, and workflows, ensuring ease of use for both technical and non-technical teams.
- Establish best practices for annotation tooling development and usage to ensure consistency across teams.
- Proactively identify risks or bottlenecks in the annotation tooling workflow and work to de-escalate or resolve issues.
- Troubleshoot and resolve issues with annotation tools, data pipelines, and automation processes to ensure minimal disruption to ongoing projects.
Preferred Qualifications
- Experience working with annotated data and ML researchers is a plus.
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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