Senior Data Annotation Analyst - Dialogue Labeling and Annotation Management

Senior Data Annotation Analyst - Dialogue Labeling and Annotation ManagementBloomberg runs on data. Our products are fueled by powerful information. Webine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data bybining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to better handle our data.

The Role:
As a Senior Data Annotation Analyst on our Dialogue Labeling and Annotation Management team (DLAM), you will be responsible for project coordination, prioritization, mentorship, coaching, and execution of strategic business objectives. Your key partners will be our AImunity Engineering teams and our Core Product team withinmunity. You will be the foundation of the DLAM team and will help support the development of machine learning models and AI technology, such as, AI assistance with security detection, transcription of voice data, classification, and more. We'll trust you to be a product owner and understand the downstream usage of our data and use that knowledge to advise potential annotation changes. As a data annotation specialist, you will also be responsible for annotation efforts by in house contract workers. You will develop deep domain expertise in text annotation of financial instruments and will perform quality evaluation of annotation results produced by yourself and contract workers. This role will require you to collaborate across data teams as your team will serve as a resource for outside teams that require expertise and training in annotation management. Doing so will require critical thinking and collaboration across Data, Product, and Engineering teams.

You'll need to have:
Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

Bachelor's degree in Finance, Economics, Linguistics. or relevant degree/equivalent experience 4+ years of data management experience, for example improving data quality, accuracy, efficiency, or timeliness

Demonstrated project, work experience, or coursework that shows your interest and knowledge in the financial markets or human in the loop workflows Demonstrated interest or experience with data analysis Excellent written,munication, and presentation skills Strong organizational skills with the ability to balance multiple projects simultaneously A high-level proficiency with business intelligence/data visualization tools, preferably QlikSense Strong desire to structure and systemize processes, and motivation to push both existing and new workflows in that direction

We'd love to see:
Experience working with annotation schemas, edge cases, guideline development and maintenance, and semantic analysis Experience transforming workflows into a more timely and efficient process Experience working with human in the loop workflows Experience using native language skills to capture various forms of linguistic utterances with high accuracy Experience with one or more of the following asset classes: Fixed Ie, Equities, and Foreign Exchange products