Bloomberg runs on data. Our products are fueled by powerful information. We combine 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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.

Our Team:

Data AI contributes to the building of Bloomberg’s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data’s role in providing robust domain expertise and influential data artifacts to Bloomberg’s products. This way, our clients will continue to have high quality data and access to new types of datasets.

The Role:

A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing subject matter expertise in both financial concepts and annotation program management, to the development of our AI products.  These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.

The role on the Code Generation Data team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the annotation program to produce high quality annotated data and drive product outcomes will be a crucial part of the role, with key deliverables spanning ownership around task design, task routing, task instructions, consensus management, and reporting. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to our clients with increased interests in Artificial Intelligence. 

We’ll trust you to:

Develop and deploy data annotation projects 

Design effective data annotation task and workflows

Maintain workflow configurations for critical existing annotation systems

Develop automated reporting systems for annotation projects to inform stakeholders of progress and quality

Apply data visualization skills to report on results of ongoing operations and projects proactively and when requested

Analyze current annotation processes to find opportunities to improve quality and velocity.

Partner with executing annotation teams to gather feedback and adjust processes as needed

Define and drive annotation governance and quality standards across cross-functional annotation initiatives

Partner with Engineering,  Product, and team members, providing guidance and direction on annotation programs

You’ll need to have:

4+ years of professional work experience

Proven experience with development of data annotation programs and human-in-the-loop processes for AI/ML products

Fluency in Python & SQL

Experience customizing or developing annotation interfaces

Extensive experience in communicating and coordinating with internal and external partners while leading large-scale projects

Proven experience in data management concepts such as data quality, data modeling, and data engineering

Proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, Product, and the broader data annotation team

Customer-focused approach and the ability to interact with a diverse range of clients

Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems

Experience using data visualization tools such as Tableau, QlikSense, or PowerBI

Effective project management skills and ability to prioritize tasks accordingly

We’d Love to See:

Deep subject matter expertise within a chosen financial domain

Experience in semantic structures or data modeling

Experience with sophisticated data annotation or labeling initiatives at significant scale

Experience customizing or developing annotation interfaces using Javascript or HTML

Experience using open source data labeling platforms such as LabelStudio

Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.


We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.