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Data Labeling Jobs in Pennsylvania (NOW HIRING)

KC Installation, LLC

Be Seen First

Entry Level Data Center Technician

Berwick, PA · On-site

$20 - $25/hr

Perform cable management, labeling, and patching, ensuring all work adheres to established ... Collaborate with data center engineers, electricians, and other team members to coordinate ...

Eurofins

Scientist: Data Review

Lancaster, PA · On-site

... and labelling is accurate. The Eurofins network of companies is the global leader in food ... THIS IS NOT A DATA SCIENCE POSITION* Employee Responsibilities: * Ensure that the client receives ...

Eurofins

Associate Data Review Scientist

Lancaster, PA · On-site

$57K - $57K/yr

... and labelling is accurate. The Eurofins network of companies is the global leader in food ... The Data Review requirement of this position will also allow for development and assignment of ...

NextGen Global Resources

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Data Center Installation Technician

Fairless Hills, PA · On-site

$30/hr

Data Center Installation Technician Location: Fairless Hills, PA (between Philadelphia, PA and ... Perform cable pulling, dressing, labeling, and termination * Support structured cabling and ...

NextGen Global Resources

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Data Center Installation Technician

Fairless Hills, PA · On-site

$30/hr

Pull, route, organize, label, and manage fiber and copper cabling * Support rack-and-stack ... Data center installation * Network installation * Security cameras, access control, or alarm wiring

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All JobsData Labeling JobsData Labeling Jobs in Pennsylvania

Data Labeling information

See Pennsylvania salary details

$9

$22

$52

How much do data labeling jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data labeling in Pennsylvania is $22.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.49 and $25.31 per hour, depending on experience, location, and employer.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

How can I get started in data labeling?

To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.

Is data labeling a good career?

Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
What are the most commonly searched types of Data Labeling jobs in Pennsylvania? The most popular types of Data Labeling jobs in Pennsylvania are:
What are popular job titles related to Data Labeling jobs in Pennsylvania? For Data Labeling jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Pennsylvania look for? The top searched job categories for Data Labeling jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Labeling jobs? Cities in Pennsylvania with the most Data Labeling job openings:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Pennsylvania as of July 2026, with employment types broken down into 78% Full Time, 7% Part Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,871 per year, or $22.1 per hour.

3rd Shift Labeling Palletizer Operator (1087)

Hanover Foods

Hanover, PA • On-site

Other

Re-posted 8 days ago

Hanover Foods rating

4.7

Company rating: 4.7 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

408th of 436 rated food and drinks producers

Job description

SUMMARY OF POSITION
Join our team at Hanover Foods Corporation as a Depalletizer Operator on the 2nd shift! We are looking for dedicated individuals to operate our automated depalletizer and ensure the smooth flow of products to our labeling lines. This is a fantastic opportunity to work in a supportive environment with room for growth.
KEY RESPONSIBILITIES
  • Operate the automated depalletizer to ensure a smooth flow of products to the labeling lines.
  • Report any mechanical or safety issues to the Supervisor or Leadperson immediately.
  • Inspect products for can codes and manufacturing defects (e.g., bad seams, swells, dented cans).
  • Remove and neatly stack divider sheets from between layers of cans.
  • Maintain accurate and neat paperwork and forms.
  • Assist the forklift driver in securing cans on the top layer.
  • Operate and maintain the empty skid palletizer.
  • Maintain good housekeeping practices in the work area.
  • Adhere to plant hygiene standards to ensure high product integrity.
  • Follow common safety practices and procedures, including wearing protective equipment.
  • Execute food safety, legality, and quality policies and procedures.
  • Perform other duties as assigned by the Supervisor or Leadperson.

MINIMUM QUALIFICATIONS
  • Basic math skills.
  • Ability to record data onto a spreadsheet.
  • Ability to work with minimal supervision.
  • Effective communication skills with management and co-workers.
  • Ability to work in various environments.
  • Willingness to work overtime as required.
  • Good attendance record.
  • Safe work habits.

PREFERRED QUALIFICATIONS
  • Previous experience working in a food processing facility.

PHYSICAL DEMANDS
  • Ability to frequently stand, walk, and use hands for handling and manipulating objects.
  • Ability to occasionally climb, crawl, squat, kneel, and bend.
  • Ability to lift and carry up to 20 lbs frequently and up to 50 lbs occasionally.
  • Ability to push/pull up to 25 lbs frequently and up to 40 lbs occasionally.

ENVIRONMENTAL FACTORS
  • Occasionally exposed to extreme cold and heat (non-weather).
  • Frequently exposed to loud noise levels.

ESSENTIAL FUNCTIONS
  • Regular and predictable attendance.
  • Ability to read and understand documents, drawings, and instructions.
  • Ability to work with mathematical concepts and apply them to practical situations.
  • Ability to work cooperatively with others and deal politely and professionally with customers and co-workers.
  • Ability to perform multiple tasks simultaneously and follow directions.
  • Ability to use a computer for communication and information access.

EQUAL EMPLOYMENT OPPORTUNITY
Hanover Foods Corporation is an equal-opportunity employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We take affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans.
REASONABLE ACCOMMODATIONS
Reasonable accommodations are available for qualified individuals with disabilities during the application process and employment.
Join us at Hanover Foods Corporation and become a part of a team that values quality, safety, and community. Apply today!

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