Data Domain Architect Lead
Wilmington, DE · On-site
... 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 ...
Data Domain Architect Lead
Wilmington, DE · On-site
... 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 ...
Data Domain Architect Lead
Wilmington, DE · On-site
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 ...
Data Domain Architect Lead
Wilmington, DE · On-site
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 ...
Data Domain Architect Lead
Wilmington, DE · On-site
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 ...
Data Domain Architect Lead
Wilmington, DE · On-site
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 ...
Data Domain Architect Lead
Wilmington, DE · On-site
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 ...
Data Domain Architect Lead
Wilmington, DE · On-site
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 ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
AI/ML Data Contributor
Philadelphia, PA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
AI/ML Data Contributor
Philadelphia, PA · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
... technologies. Job Role The Audio Annotation Trainer - English (US) is responsible for recording, reviewing, and delivering high-quality American English voice data used to train and improve advanced ...
New
Quick apply
... technologies. Job Role The Audio Annotation Trainer - English (US) is responsible for recording, reviewing, and delivering high-quality American English voice data used to train and improve advanced ...
New
... AI technology stack. * Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark ...
... AI technology stack. * Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark ...
... AI technology stack. * Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark ...
... AI technology stack. * Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark ...
... AI technology stack. * Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark ...
... AI technology stack. * Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark ...
AI Content Solutions Executive (Hunter + Closer)
Philadelphia, PA · On-site
$60K - $150K/yr
... data collection, annotation, or evaluation services * Build tailored proposals with help from ... tech, AI, research, or localization * You know how to find the buyer, ask the right questions, and ...
AI Content Solutions Executive (Hunter + Closer)
Philadelphia, PA · On-site
$60K - $150K/yr
... data collection, annotation, or evaluation services * Build tailored proposals with help from ... tech, AI, research, or localization * You know how to find the buyer, ask the right questions, and ...
AI Content Solutions Executive (Hunter + Closer)
Philadelphia, PA · Remote
$60K - $150K/yr
... data collection, annotation, or evaluation services * Build tailored proposals with help from ... tech, AI, research, or localization * You know how to find the buyer , ask the right questions ...
Quick apply
AI Content Solutions Executive (Hunter + Closer)
Philadelphia, PA · Remote
$60K - $150K/yr
... data collection, annotation, or evaluation services * Build tailored proposals with help from ... tech, AI, research, or localization * You know how to find the buyer , ask the right questions ...
Prompt Engineers
Philadelphia, PA · On-site
We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.
Quick apply
Prompt Engineers
Philadelphia, PA · On-site
We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.
Statistical Analytical Programmer
PA · On-site +1
At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic ... Transform raw real-world data sources-including EMR, EHR, claims, and registries-into accurate ...
Statistical Analytical Programmer
PA · On-site +1
At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic ... Transform raw real-world data sources-including EMR, EHR, claims, and registries-into accurate ...
Data Annotation Tech information
See Philadelphia, PA salary details
$12.37 - $14.44
3% of jobs
$14.44 - $16.52
19% of jobs
$17.09 is the 25th percentile. Wages below this are outliers.
$16.52 - $18.59
11% of jobs
$18.59 - $20.66
13% of jobs
The median wage is $21.60 / hr.
$20.66 - $22.74
11% of jobs
$22.74 - $24.81
12% of jobs
$26.69 is the 75th percentile. Wages above this are outliers.
$24.81 - $26.88
8% of jobs
$26.88 - $28.95
8% of jobs
$28.95 - $31.03
6% of jobs
$31.03 - $33.10
5% of jobs
$33.10 - $35.17
4% of jobs
$12
$23
$35
How much do data annotation tech jobs pay per hour?
As of Jul 15, 2026, the average hourly pay for data annotation tech in Philadelphia, PA is $23.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $27.40 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Data Annotation Tech position, and why are they important?
To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.
What does a typical day look like for a Data Annotation Tech?
A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.
What is a Data Annotation Tech job?
A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.
What are the most commonly searched types of Data Annotation Tech jobs in Philadelphia, PA? The most popular types of Data Annotation Tech jobs in Philadelphia, PA are:
What are popular job titles related to Data Annotation Tech jobs in Philadelphia, PA? For Data Annotation Tech jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Philadelphia, PA look for? The top searched job categories for Data Annotation Tech jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Data Annotation Tech jobs? Cities near Philadelphia, PA with the most Data Annotation Tech job openings:
Full-time
Re-posted 11 days ago
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.
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.