Bloomberg
Senior Data Management Professional - Data Annotation Operations and Quality
Bloomberg, New York, New York, us, 10261
Senior Data Management Professional - Data Annotation Operations and Quality
Join to apply for the
Senior Data Management Professional - Data Annotation Operations and Quality
role at
Bloomberg Senior Data Management Professional - Data Annotation Operations and Quality
Join to apply for the
Senior Data Management Professional - Data Annotation Operations and Quality
role at
Bloomberg This range is provided by Bloomberg. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$110,000.00/yr - $190,000.00/yr Location
New York
Business Area
Data
Ref #
10044771
Description & Requirements
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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Referrals increase your chances of interviewing at Bloomberg by 2x Get notified about new Data Management Specialist jobs in
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Join to apply for the
Senior Data Management Professional - Data Annotation Operations and Quality
role at
Bloomberg Senior Data Management Professional - Data Annotation Operations and Quality
Join to apply for the
Senior Data Management Professional - Data Annotation Operations and Quality
role at
Bloomberg This range is provided by Bloomberg. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$110,000.00/yr - $190,000.00/yr Location
New York
Business Area
Data
Ref #
10044771
Description & Requirements
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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Referrals increase your chances of interviewing at Bloomberg by 2x Get notified about new Data Management Specialist jobs in
New York, NY . New York, NY $106,000.00-$139,000.00 2 weeks ago New York, NY $90,000.00-$125,000.00 1 week ago New York, NY $64,526.72-$73,000.00 1 month ago Data Analyst, Asset Management/Regulatory Solutions
Data Manager and Analyst, Bureau of the Public Health Laboratory
New York, NY $98,400.00-$140,200.00 1 week ago New York, NY $72,434.00-$87,200.00 3 days ago Data and Reporting Senior Business Analyst
New York, NY $150,000.00-$250,000.00 4 months ago New York, NY $100,000.00-$120,000.00 2 weeks ago Brooklyn, NY $239,000.00-$311,000.00 2 weeks ago New York, NY $90,000.00-$165,000.00 6 days ago New York, NY $100,000.00-$140,000.00 3 weeks ago On-Site Scheduler/ Onsite Data Collector
New York, NY $90,000.00-$165,000.00 4 days ago Senior Data Analyst, LUS Revenue Reporting
New York, NY $128,000.00-$160,000.00 3 days ago New York City Metropolitan Area 3 days ago Newark, NJ $65,272.00-$65,272.00 1 week ago New York, NY $90,000.00-$167,200.00 2 weeks ago Assistant Manager of Technology Innovation & Data
Newark, NJ $120,000.00-$130,000.00 2 weeks ago New York City Metropolitan Area $115,000.00-$120,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr