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Data Labeling Jobs in Pennsylvania (NOW HIRING)

Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business ...

Data Entry Representative

Broomall, PA · On-site

$15 - $15.50/hr

Verify shipping address and Print FedEx Label * Maintain communication with all necessary parties to ensure no duplication of effort (i.e. queue) * Processes service email requests * Review data for ...

Data Entry Representative

Broomall, PA · On-site

$15.50 - $19.75/hr

... and Print FedEx Label • Maintain communication with all necessary parties to ensure no ... Review data for deficiencies; resolving discrepancies by using standard procedures or returning ...

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

Data Protection Consultant

Pittsburgh, PA · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

Showing results 21-40

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:
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 Utility (1117)

HANOVER FOODS CORPORATION

Hanover, PA • On-site

Full-time

Posted 24 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

Responsible for carrying out particular functions in the Labeling Department under the direction of the Supervisor.  Fills in as a Leadperson, Labeling Machine Operator, Palletizer Operator, Depalletizer Operator, Label Puller, etc.

  1. Carries out orders of particular functions in the Labeling Department under the direction of the Supervisor.
  2. Fills in as a Leadperson, Labeling Machine Operator, Palletizer Operator, Depalletizer Operator, Label Puller, etc.
  3. Instructs and trains employees in related work area.
  4. Informs Supervisor immediately of any problems that may arise.
  5. Helps control quality and quantity of work performed by their group and works to maintain a continuous flow of production.
  6. Sets up and ensures that the proper codes are used for production in their area.
  7. Maintains line speeds and goals as set up by management.
  8. Completes the necessary paperwork needed within area of responsibility.
  9. Reports any mechanical and/or safety issues to Supervisor immediately.
  10. Responsible for physically lifting up to 100 pounds.
  11. Must be able to operate a walk-behind lift and a personal lift.
  12. Adheres to common safety practices and procedures including the wearing of protective equipment and clothing.
  13. Adheres to the Company’s plant hygiene standards to ensure high product integrity.
  14. Keeps work area clean in accordance with good housekeeping practices.
  15. Responsible for the execution of food safety, legality and quality policies and procedures within the scope of the job responsibilities such as but not limited to:  GMP’s, HACCP, safety, product quality, food security, plant security, etc.
  16. Performs other duties as assigned by the Supervisor or Leadperson.
  • The ability to attend work predictably and regularly and to be punctual.
  • The ability to read and understand documents, drawings, and instructions (whether presented in written, oral, diagram or schedule form).
  • The ability to work with mathematical concepts and to apply concepts to practical situations.
  • The ability to work cooperatively with others.
  • The ability to deal politely and professionally with customers and coworkers.
  • The ability to perform several tasks at once.
  • The ability to follow direction or instruction.
  • The ability to use a computer to communicate, create, and access information.
  • The ability to lift and move 100 pounds.
  • The ability to sit/stand/bend/stretch, etc.
  • The ability to use hands to finger, handle, or feel and reach with the hands and arms.
  • Basic math skills
  • Ability to record data on to a spreadsheet
  • Ability to communicate with management and co-workers
  • Ability to work with minimal supervision
  • Ability to work in all environments
  • Must be able to work overtime as required
  • Must maintain a good attendance record
  • Safe work habits

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