Bloomberg
Bloomberg

60 Bloomberg Customer Service Jobs Hiring Near You

$90 - $130/hr

The Bloomberg Financial Solutions department, made up of more than 5,000 employees, ensures success for our customers and employees alike. Our team covers key pillars including sales, service ...

$135 - $230/hr

... customer support to our clients. Our team: The Bloomberg Data AI group brings innovative AI ... The Team Lead will operate annotation as a shared service across our Data AI teams. They will ...

$90 - $130/hr

... Service Ref # 10053115 Description & Requirements Bloomberg is a global leader in business and ... Our customers rely on us for the information and tools they need to make critical investment ...

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Bloomberg Jobs Information

What is it like to work at Bloomberg?

Bloomberg is known for its fast-paced and dynamic work environment, driven by a culture of innovation and collaboration that encourages employees to think creatively and push boundaries. The company's global teams work together to deliver real-time financial data and news, with a focus on providing accurate and unbiased information to its clients. For those who thrive in a challenging and rapidly evolving industry, Bloomberg offers opportunities to work on cutting-edge projects and develop skills in data analysis, journalism, and technology.

What makes Bloomberg an attractive place to work?

Bloomberg is a leading global provider of financial data and analytics, known for its cutting-edge technology and influential market insights. The company offers a dynamic work environment that fosters innovation, collaboration, and professional growth, with opportunities to work on high-profile projects and contribute to the development of its industry-leading products. As a Bloomberg employee, you can expect to be part of a global network of professionals who drive business decisions and shape the financial landscape, with access to training and development programs that support your career advancement.

Does Bloomberg pay people when they’re sick?

Yes. Most people get paid when they’re sick.
82% of people say they would get paid if they were sick but scheduled to work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is the health insurance from Bloomberg affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 6 people who took the Breakroom Quiz between March 2025 and January 2026.

How easy is it to get time off at Bloomberg?

Most people find it easy to get time off.
80% of people report it’s easy to get time off.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

How easy is it to take sick days at Bloomberg?

Most people find it easy to take sick days.
90% of people report that it’s easy to take time off if they are sick.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg feel treated with respect by their managers?

Most people feel treated with respect by their managers.
90% of people say they’re treated with respect by their managers.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg get to take their breaks without interruption?

Most people get breaks without interruption.
73% of people report that they get to take their breaks without interruption.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is it stressful to work at Bloomberg?

Most people feel stressed here.
78% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and July 2025.

Do people at Bloomberg enjoy their jobs?

Most people enjoy their job.
75% of people report they enjoy their job.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg recommend working with their team?

Only some people recommend working with their team.
36% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get enough training when they start at Bloomberg?

Most people got enough training when they started.
100% of people report they got enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get support to advance at Bloomberg?

Most people are given support to advance their career here.
In the last year, 73% of people report being given support to advance their career here.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people think Bloomberg’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
55% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do workers feel well informed about how Bloomberg is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

What are the most popular job types at Bloomberg?

    Infographic showing various Customer Service job openings at Bloomberg in the United States as of August 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 100% Physical job distribution.

    Team Leader - Annotations Operations and Governance

    Bloomberg LP

    New York, NY • On-site

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Re-posted 22 days ago


    Bloomberg rating

    9.4

    Company rating: 9.4 out of 10

    Based on 11 frontline employees who took The Breakroom Quiz

    11th of 247 rated software companies


    Job description

    Team Leader - Annotations Operations and Governance
    Location
    New York
    Business Area
    Data
    Ref #
    10049470
    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:
    The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while contributing deep financial domain expertise to the development of AI-powered products. We partner closely with stakeholders to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that enhance the capabilities and competitiveness of Bloomberg's offerings.
    What's the role?
    We are seeking a Team Lead to own and scale Bloomberg's annotation function across AI and data initiatives, with responsibility for Annotation Operations and Annotation Standards & Governance. This role leads two tightly coupled but distinct capabilities: (1) governing canonical annotation standards and judgment frameworks, and (2) applying those standards at scale through operational execution, quality control, and continuous improvement.
    The Team Lead will operate annotation as a shared service across our Data AI teams. They will ensure that centrally defined standards: schemas, labels, ambiguity frameworks, and calibration rules, are consistently and correctly applied in production through SME-driven workflows, vendor execution, and robust operational controls.
    The ideal candidate is a technically grounded, systems-oriented leader who understands how annotated data shapes AI model behavior and evaluation outcomes. You are comfortable operating at scale while exercising strong technical judgment, enforcing standards, interpreting ambiguity, and using metrics to detect drift, diagnose failure modes, and continuously improve data quality.
    In this role, you will help build a durable, repeatable annotation capability that produces correct, consistent, and reproducible data over time, supporting training, evaluation, monitoring, and production AI systems.
    We'll trust you to:
    • Lead and develop a team responsible for operating and governing Bloomberg's AI data annotation capability, delivering consistent, high-quality data through strong technical judgment and clear standards.
    • Own annotation operations end-to-end, translating schemas and judgment frameworks into scalable workflows with measurable quality.
    • Establish governance and quality mechanisms, including calibration, agreement analysis, and drift detection, that ensure consistent interpretation of standards.
    • Partner closely with AI, Data, and Platform teams to align annotation outputs with production needs and downstream model requirements.
    • Ensure operational strength at scale, including workforce strategy, vendor oversight, capacity planning, and service reliability.
    • Drive continuous improvement through metrics, feedback loops, and root-cause analysis.
    • Act as steward of judgment integrity, maintaining high agreement and durable decision-making frameworks as models and domains evolve.

    You'll need to have:
    • Prior people leadership experience, including leading operational or program-focused teams.
    • Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment.
    • Strong understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection.
    • Proven experience running large-scale annotation or data operations with vendor and SME workforces.
    • Ability to enforce centrally defined standards while maintaining consistency at scale.
    • Excellent cross-functional leadership skills and comfort operating in ambiguity-rich environments.
    • Strong program leadership capability, with a focus on measurable outcomes and continuous improvement.
    • Bachelor's or Master's degree in a relevant field, or equivalent practical experience.

    We'd love to see:
    • Experience supporting ML training, evaluation, or monitoring pipelines.
    • Familiarity with annotation platforms, QA tooling, and data instrumentation.

    Salary Range = 135,000 - 230,000 USD Annual + 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.
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    About Bloomberg

    Sourced by ZipRecruiter

    Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

    Industry

    Finance and insurance

    Company size

    10,000+ Employees

    Headquarters location

    New York, NY, US

    Year founded

    1981