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Data Annotation Finance Jobs (NOW HIRING)

What You'll Do * Do hands-on data annotation and quality control (labeling, reviewing, and ... A beautiful, well-stocked office in NYC's Financial District. * Flexible vacation and work-from ...

... financial goals. As a Data Domain Architect Lead, you will manage a team to develop machine learning solutions through data annotation, curation, and validation while collaborating with other teams ...

Familiar with industry annotation and labeling methods * Experience with various data modeling techniques and tools * Familiar with Finance and Banking products * Broad expertise in data technologies ...

Within Meta's Finance organization, Strategic Sourcing owns end-to-end indirect sourcing, market ... Experience in managing high-volume data annotation sourcing programs * Demonstrated ability to ...

Within Meta's Finance organization, Strategic Sourcing owns end-to-end indirect sourcing, market ... AI data annotation and collection vendors • Proactively identify, track, and manage risks and ...

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ... Ability to understand P&L financials. * Ability to maintain professionalism and confidentiality ...

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ... Ability to understand P&L financials. * Ability to maintain professionalism and confidentiality ...

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ... Ability to understand P&L financials. * Ability to maintain professionalism and confidentiality ...

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

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Data Annotation Finance information

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$35K

$85.5K

$142K

How much do data annotation finance jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data annotation finance in the United States is $85,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $100,500.00 per year, depending on experience, location, and employer.
More about Data Annotation Finance jobs
What cities are hiring for Data Annotation Finance jobs? Cities with the most Data Annotation Finance job openings:
What states have the most Data Annotation Finance jobs? States with the most job openings for Data Annotation Finance jobs include:
Infographic showing various Data Annotation Finance job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.

Data and Analytics - Data Annotation

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 19 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

70th of 170 rated banks


Job description

Working at Chase means making a real difference every day for your customers, your community and
yourself. How? By putting others first, doing what's right and creating solutions that make lives better.
Build your career on our strong foundation and help shape what's nextfor you and for us. Chase, a
leading provider of diverse financial services worldwide, is actively seeking service-center team
members to create lifelong engaged relationships with our customers by delivering superior service and
quality with every customer interaction

As a Data Domain Architect Analyst within Consumer and Community Banking, you will leverage your business expertise and knowledge of JPMorgan Chase products to collaborate effectively with Data Science, Analytics, and Engineering teams. You will be responsible for developing and enhancing machine learning solutions by gathering, curating, annotating, enriching, and validating data. Additionally, you will create taxonomies and other resources to train machine learning models, extract insights, conduct analysis, and potentially generate content.

Job Responsibilities:

  • Label and annotate call center transcripts and other datasets to support the development of machine learning models.
  • Review and validate the outputs of AI and ML models, ensuring accuracy as well as alignment with business goals and compliance standards.
  • Leverage GenAI tools to conduct deep dives into call datasets to uncover opportunities to improve customer experience.
  • Provide expert guidance to stakeholders on leveraging ML/AI discovery tools for actionable insights. 
  • Draft and refine taxonomies and classification schemas to enhance data organization and model training.
  • Identify and escalate anomalies, errors, or unexpected model behaviors, acting as a critical checkpoint in our AI workflow.
  • Work closely with data scientists, engineers, and business stakeholders to continuously improve annotation processes and model performance.

Required qualifications, capabilities, and skills:

  • Experience with banking products and/or customer service within the financial services industry
  • Bachelor's degree in business or comparable discipline; or equivalent level demonstrated in relevant work experience.
  • Excellent analytical and problem-solving skills and the ability to pay close attention to detail
  • Experience in working with and analyzing large real-world datasets.
  • Ability to interpret and apply business context to technical tasks.
  • Interest in machine learning and willingness to develop new skills in this area.

Preferred qualifications, capabilities, and skills

  • Prior experience with data annotation, conversational analysis, taxonomy development, machine learning projects, and/or quality assurance
  • Familiarity with industry annotation and labeling methods.
  • Working knowledge of information and data retrieval.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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