Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
AI/ML Research Support Intern
Penn State University Park
Live, first seen by us 83 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Working pattern needs review — work setting source
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, see Notice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS
Read the full posting- Employment
Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
You must be a US citizen to apply
What you’ll work on
Full postingLabel and annotate diverse datasets, mainly geospatial data
Support AI/ML model development for Navy, DoD and IC applications
Use labeling tools to support data quality assurance
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Undergraduate student in a STEM major
- U.S. citizenship
- Eligible to obtain a government security clearance
- Strong attention to detail and commitment to data quality
Qualification wording
Undergraduate students in a STEM major (Computer Science, Engineering, Mathematics, Data Science, Information Sciences, or related fields)
You must be a U.S. citizen to apply.
Employees must be eligible to obtain a government security clearance
Commitment to data quality Strong attention to detail
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202683 days ago
- Recorded sightings
- 99
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 83
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Psu is hiring
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring has slowed
- Takes jobs down at a usual pace
- 11% of open jobs were reposted
See how this role fits your experience
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Your next step
Complete your application on psu.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
We are searching for a motivated undergraduate student to join the Visualization and Decision Support Division at the Applied Research Laboratory (ARL) at Penn State. This fall/spring internship will concentrate 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 be fully 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 at www.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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Penn State University Park
- 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, see Notice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS
More source context
- 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 be fully 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.
- Work authorization
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