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Data Annotation Services Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to ... Previous experience with data analysis or annotation at any level You will work up to 20 hours/week ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

... our data analytics software-as-a-service platform * Review, verify, and aggregate the most ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... our data analytics software-as-a-service platform * Review, verify, and aggregate the most ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

... our data analytics software-as-a-service platform * Review, verify, and aggregate the most ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

The Pennsylvania State University

CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to ... Develop bioinformatic workflows and contribute to data interpretation and biological discovery.

Gap International

Linguist

Philadelphia, PA

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

Gap International

Linguist

Springfield, PA · On-site

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

Gap International

Linguist

Springfield, PA · On-site

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

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Data Annotation Services information

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are popular job titles related to Data Annotation Services jobs in Pennsylvania?

For Data Annotation Services jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Data Annotation Services jobs in Pennsylvania look for?

The top searched job categories for Data Annotation Services jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Data Annotation Services jobs?

Cities in Pennsylvania with the most Data Annotation Services job openings:

Data Annotation Services jobs near you
Infographic showing various Data Annotation Services job openings in Pennsylvania as of August 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Temporary. Highlights an 90% In-person, and 10% Remote job distribution.

AI/ML Research Support Intern

The Pennsylvania State University

On-site, Remote

Part-time

Posted 27 days ago

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

We are searching for a motivated undergraduate student to jointhe Visualization and Decision Support Divisionat the Applied Research Laboratory (ARL) at Penn State. This fall/springinternship willconcentrate on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

Typical focus areas include:

  • Label and annotate diverse datasets with a primary focus on geospatial data such as tracks, images, video, text, and sensor data
  • Support AI/ML model development for Navy, Department of Defense (DoD), and Intelligence Community (IC) applications
  • Utilize industry-standard and custom labeling tools while collaborating with AI/ML researchers and engineers to understand requirements and contribute to data quality assurance processes

Students majoring in the following fields are encouraged to apply:

  • Undergraduate students in a STEM major (Computer Science, Engineering, Mathematics, Data Science, Information Sciences, or related fields)

Interest Skills/Experience areas include:

  • Drive to learn and grow in the AI/ML field
  • Commitment to data quality
  • Strong attention to detail

Preferred but not required:

  • Interest in artificial intelligence, machine learning, or data science
  • Familiarity with geospatial concepts or mapping technologies
  • Previous experience with data analysis or annotation at any level

You will work up to 20 hours/week during the fall and spring semesters and have the opportunity to work up to 40 hours/week over the summer. This is a paid internship opportunity, and location will befully on-site located in State College, PA

Relocation and housing are not provided. Questions related to flexible work should be directed to the hiring manager during the interview process.

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.

FOR FURTHER INFORMATION on ARL, visit our website atwww.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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