Annotations - Process Engineer

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI


Weekly Hours: 40
Role Number:200134180
Imagine what you could do here. At Apple phenomenal ideas have a way of becoming great products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Key Qualifications

  • Experience documenting and analyzing workplace processes
  • Excellent conceptual, written and verbal communications skills and the ability to establish relationships across channels and functions to drive success
  • Knowledge of MacOS, Apple iWork applications and Omnigraffle a plus
  • Flexible and able to deal with ambiguity, address uncertainty and adapt to changing priorities
  • Ability to manage multiple tasks concurrently, including complex project/processes
  • Ability to maintain a positive attitude in high stress and multitask in an extremely dynamic environment
  • Excellent analytical skills
  • Willing to work at a very detailed level while still being able to abstract ideas for communication to cross-functional teams and senior management
  • Flexible, adaptable, enthusiastic and self-motivated
  • Some travel may be required


Annotation Ops team is seeking a highly-motivated professional to develop, review, implement and monitor annotation processes. You will study customer data requirements, decompose and build incremental workflows, gather and prioritize the corresponding tool requirements and work with Engineers to develop, test/pilot and deploy the processes at scale in Production environment. You will observe operations, interpret performance metrics/ output data, and explore opportunities for improvement. You will build and run prototypes for process/tool designs, debug failures, propose solutions to both Eng and Customer, and iterate till an optimal process/tool solution is ready for deployment. You will document the process and all further changes to support RCAs for process failures, and to help run regular process audits/calibration exercises at the Vendor location Solutions to check for consistent interpretation and implementation of processes in production. You will collaborate with AI/ML Researchers and cross functional experts to identify effective/programmatic annotation methods popular across competitors or within CV/ML communities to reduce cost of operations and improve data quality. You may be required to consult Customers on effective annotation methods for their AI/ML projects if they seek guidance. This is a highly reciprocal position that requires working with Engineering, Quality, Training and Production Ops to deliver premier solutions. And most of all, you are able to manage and lead change effectively while maintaining Apple culture and standards. Social skills and technical product knowledge and expertise are essential for this role. Applicants should thrive in dynamic, high- pressure situations and welcome critical-thinking opportunities. Strong written communication skills are a requirement when devising solutions in collaboration with editing, products and engineering teams.

Education & Experience

Degree in Computer Science/Engineering or equivalent experience

Additional Requirements