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Data Annotation Finance Jobs in Philadelphia, PA

JPMorganChase

Data Domain Architect Lead

Wilmington, DE · On-site

... 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 ...

YO AI Labs

AI Finance Expert - Remote

Philadelphia, PA · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Fairygodboss

Data Domain Architect Lead

Wilmington, DE · On-site

$120 - $150/hr

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 ...

New

Gap International

Linguist

Philadelphia, PA

... financial services. ABOUT THE ROLE Global management consulting firm Gap International , based in ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

Gap International

Linguist

Springfield, PA · On-site

... financial services. ABOUT THE ROLE Global management consulting firm Gap International , based in ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

Gap International

Linguist

Springfield, PA

... financial services. ABOUT THE ROLE Global management consulting firm Gap International , based in ... Strong analytic and synthesis skills; able to move from theory data insight application * Clear ...

All JobsData Annotation Finance JobsData Annotation Finance Jobs in Philadelphia, PA

Data Annotation Finance information

See Philadelphia, PA salary details

$35.3K

$86.2K

$143.3K

How much do data annotation finance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data annotation finance in Philadelphia, PA is $86,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $101,400.00 per year, depending on experience, location, and employer.

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Data Domain Architect Lead

JPMorganChase

Wilmington, DE • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their 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 to optimize training data for machine learning models.
Responsibilities:
• Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis
• Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models
• Lead efforts to identify patterns and trends in conversational data through Natural Language Processing and/or other computational linguistic approaches
• Collaborate with stakeholders on evaluating the quality of machine learning classification and other output
• Actively contribute to the team’s continuous learning mindset by bringing in new ideas and perspectives that stretch the thinking of the group
Qualifications:
Required:
• 6+ years of related experience in development of machine learning solutions
• 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; i.e., data warehousing, data processing, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning
• Excellent analytical and problem-solving skills and the ability to pay close attention to detail
• Experience using Python in working with and analyzing large real-world datasets
• Working knowledge of information and data retrieval
• Working knowledge of machine learning and artificial intelligence paradigms and libraries
• Familiar with Large Language Models (LLMs) and prompt engineering
Preferred:
• Masters or PhD in a related field, or Bachelors
• Technical understanding of common relational database systems; i.e., Teradata and Oracle
• Excellent command of the Structured Query Language (SQL)
• Knowledge of SAS or Scala, and Python languages
• Knowledge of Advanced Statistics
• Advanced analytical thinking and problem-solving skills
• Strong interpersonal & communication skills
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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