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Intern Data Annotation Tech Jobs in Philadelphia, PA

JPMorganChase

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

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 ...

TSMG

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

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 ...

Frontage Laboratories

IT Intern

Exton, PA · On-site

$14.50 - $19.25/hr

IT Security Analyst Intern Title: IT Security Analyst Intern Location: Exton, PA, On-site ... Assess data access and user access control as per approved procedures * Review and monitor audit ...

Ricoh USA, Inc.

Intern, Finance IT

Exton, PA · On-site

$17.25 - $22.50/hr

Finance IT Intern Position Profile The Intern will gain hands-on work experience by participating ... Support Finance IT applications such as ERP, reporting, and financial systems. * Assist on data ...

Ricoh USA, Inc.

Intern, Finance IT

Exton, PA · On-site

$17.25 - $22.50/hr

Finance IT Intern Position Profile The Intern will gain hands-on work experience by participating ... data validation, and documentation. * Collaborate with finance and IT teams on automation and ...

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)

Ricoh USA, Inc.

Intern, Finance

Exton, PA · On-site

$17.25 - $22.50/hr

Intern, Finance Tax Intern About the Role Ricoh USA, Inc. is seeking a motivated and detail ... of new technologies. * Contribute to data analysis for tax-related projects and process ...

Ricoh USA, Inc.

Intern, Finance

Exton, PA · On-site

$17.25 - $22.50/hr

Intern, Finance Tax Intern About the Role Ricoh USA, Inc. is seeking a motivated and detail ... of new technologies. * Contribute to data analysis for tax-related projects and process ...

Ricoh USA, Inc.

Intern, Inventory Planning

Exton, PA · On-site

$15 - $19.25/hr

In addition, the intern will contribute to the data analysis and actively manage specific activity ... We deliver services and technologies that inspire our customers' success and guide them toward a ...

Ricoh USA, Inc.

Intern, Inventory Planning

Exton, PA · On-site

$15 - $19.25/hr

In addition, the intern will contribute to the data analysis and actively manage specific activity ... We deliver services and technologies that inspire our customers' success and guide them toward a ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Philadelphia, PA

Intern Data Annotation Tech information

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The application process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

What are some common challenges faced by Intern Data Annotation Techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that can range from minimum wage to above average, depending on experience and location. Entry-level roles often pay around $10 to $15 per hour, with higher rates for skilled annotators or those working on specialized projects. Compensation can also include flexible schedules and remote work options.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is a data annotation intern?

A data annotation intern is a temporary position where individuals label or categorize data, such as images, text, or videos, to help train machine learning models. The role typically involves using annotation tools and requires attention to detail, with tasks often performed remotely or in a supervised environment.

What are Intern Data Annotation Techs?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach basic annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data labeling standards can improve performance over time.

What are the key skills and qualifications needed to thrive as an Intern Data Annotation Tech, and why are they important?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
What are popular job titles related to Intern Data Annotation Tech jobs in Philadelphia, PA? For Intern Data Annotation Tech jobs in Philadelphia, PA, the most frequently searched job titles are:
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Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Philadelphia, PA as of July 2026, with employment types broken down into 2% Locum Tenens, 22% Full Time, 26% Part Time, 15% Contract, 34% Nights, and 1% Summer. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution.

Data Domain Architect Lead

JPMorganChase

Wilmington, DE • On-site

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.

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