AI/ML Research Support Intern

The Applied Research Laboratory at Penn State University; University Park (TX); On-site; USD 20,664 - 34,440; Part time

Job summary

The Applied Research Laboratory at Penn State University is seeking an undergraduate student to join the Visualization and Decision Support Division for a fall/spring internship focused on AI/ML data preparation. You will gain hands-on experience by labeling diverse datasets and supporting model development in collaboration with researchers and engineers.

The internship is on-site in State College, PA, with up to 20 hours/week during fall/spring and up to 40 hours/week in summer.

Qualifications

• Undergraduate student in a STEM major (CS, Engineering, Math, Data Science, Info Sciences, or related fields).
• Interest in AI/ML and data science is encouraged.
• Strong attention to detail and commitment to data quality.

Responsibilities

• Label and annotate diverse datasets with geospatial data focus (tracks, images, video, text, and sensor data).
• Support AI/ML model development for DoD/IC applications.
• Collaborate with AI/ML researchers to understand requirements and ensure data quality.

Skills

Data labeling

Geospatial data

Attention to detail

Willingness to learn

Education

Undergraduate STEM major

Tools

Labeling tools

Job description

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.

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