Operation Manager for Data Annotation Department


  • Full Time

At Mobileye, we foster a hybrid-friendly environment, combining work from office and home.

Which department will you join?
High-quality labeled datasets for supervised and semi-supervised machine learning algorithms are required for training, testing, benchmarking, research, and exploration of the algorithms. As those are usually difficult and expensive to produce because of the large amount of time needed to label the data, and with the fact that the source of the datasets is captured by proprietary Mobileye cameras and fusion sensors, we built and perfect a process and an operation to deploy, annotate, label, and consume large volumes of big data.
Data Annotation Department Goals:
The role of the Data Labeling department is to provide annotated images and videos for the Algorithms and Validation teams as well as tier1 (working with car manufacturers and automakers) according to client’s requirements
The labeling work is done by workers abroad in an intensive operation (thousands of workers) and with a very large-scale budget under the supervision of in-house, local staff.
To increase productivity, streamline the work and gain focus, the operation is divided into technologies teams. Each one is specifying and specializes in a specific area like vehicles, pedestrians, traffic signs, traffic lights, visual road marks, mapping, etc.
The department runs the entire process. Starting from understanding the customer needs, compiling a set of rules, building the process, procedure, and methodology, deploying the task, monitoring the process, striving to improve quality and productivity, providing coherency, reliably and up-to-date status, and report outs to stakeholders and retrospective.


The operation Manager will be responsible for:


  • Overseeing the company’s data pipeline system and processes including organizing, storing, labeling, and analyzing the data received, to ensure timely delivery of high-quality data required for the development projects of the company.
  • Establish and implement an effective process for data management, build a strong team of data annotation specialists
  • Working closely with R&D and product management teams, algorithms, functional testing specialists, and data tagging professionals to ensure successful kickoff and execution of required projects including manpower planning, the correct definition of requirements, training materials preparation, and progress follow-up. 
  • Provide Data for training deep learning networks.
  • Write instruction and quality requirements documents for annotators.
  • Validates the quality of the annotated data.
  • Collect and analyze data for the effectiveness of the projects, using scripts, SQL queries and BI dashboards
  • Test new annotation tools and improve existing ones.
  • Support and mentor team leaders

    All you need is:


  • Experience as 2nd line manager
  • Proven track records of managing distributed teams, locally, offshore, and subcontractors (SOW, work plan, negotiation)
  • Know-how in processes and organizational techniques
  • Experience in heading up exceptionally large-scale business process operations BPO
  • Familiar with Data transfer methodologies design and operation
  • Experience with annotation and labeling processes – advantage
  • Strong project management skills: an experience of working with cross-organizational teams- R&D, IT, Product, and project managers to achieve various projects goals in an effective and timed manner.
  • Experience with SQL + BI dashboards and relational databases – advantage
  • Excellent verbal and written communication skills
  • Ability to handle multiple competing priorities in a fast-paced environment




    Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!