About the Job

The Data Operations organization is a critical support organization to various data science and engineering teams at Altana AI. As a team we provide infrastructure for human insights into DS and AI initiatives that are core to Altana’s product. Data Operations partners closely with our product teams to come up with innovative ways to further enrich and collect data to increase Altana’s data coverage. 

As a data analyst in the data operations team, you are responsible for architecting and managing data labeling and annotation workflows end-to-end while actively working with different internal stakeholders to assess training data needs and delivery insides into algorithmic performance while continuously enhancing data driven processes internally as well as externally with our annotation vendors.

As an ideal candidate you are a strong communicator, technically curious, love documentation and processes while keeping them flexible to meet changing engineering needs. 

Responsibilities:

• Scoping and managing of multiple annotation workflows in parallel 
• Definition and ownership of project success metrics
• Ability to work cross functionally to identify needs for human annotated data
• Day-to-day management of vendor team responsible for data labeling efforts
• Identify opportunities to improve efficiency in labeling processes through process improvements and/or annotation tool improvements

Requirements:

• Experience in a Data Annotation, Data Operations, Project Management, Vendor Management or Sales Engineering role within a data driven organization
• Ability to operate in an unstructured research environment
• Strong verbal and written communication abilities
• Commitment to an inclusive corporate culture
• Baseline familiarity with technical platforms, databases, or statistical software 
• Familiarity with or a desire to learn about machine learning models

Nice to Have:

• Worked in a remote environment 
• Comfortable in using Python for data analytics
• Foreign language skills