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AI Project Intern – Computer Vision

Job in Diamond Bar, Los Angeles County, California, 91765, USA
Listing for: RadNet, Inc.
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-06-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 20 - 30 USD Hourly USD 20.00 30.00 HOUR
Job Description & How to Apply Below

AI Project Specialist - Temp/Intern to hire

#1726

Diamond Bar, California, United States

Purpose of Job

We are seeking a motivated AI Project Intern specializing in Computer Vision to support our ongoing AI project, with a focus on document analysis and video analysis. This internship provides hands‑on experience in applying cutting‑edge AI technologies to solve real‑world supply chain challenges. The ideal candidate is passionate about computer vision, eager to learn, and excited to collaborate with cross‑functional teams in a fast‑paced e‑commerce environment.

At this moment, we are only open to students who have already graduated or are going to graduate by the end of 2026. Full‑time offers will be extended to individuals who demonstrate strong performance toward the conclusion of their contract.

Job Description
  • Apply computer vision techniques to automate warehouse and logistics workflows, such as:
  • Develop and deploy computer vision models for object detection, tracking, and anomaly detection in logistics workflows (e.g., pallet counting, dock monitoring, trailer in/out verification).
  • Build and maintain OCR and document understanding pipelines for extracting structured data from BOLs, ASNs, invoices, packing lists, and other logistics PDFs
  • Integrate camera‑based recognition systems (e.g., license plate recognition, packed item verification, activity recognition) into warehouse operations.
  • Collaborate with operations teams to validate AI outputs against real logistics scenarios.
  • Assist in developing prototypes, testing models, and refining algorithms to improve accuracy and efficiency.
  • Support documentation of processes, findings, and best practices for ongoing projects.
Job Requirements
  • Currently pursuing a “Bachelor’s” or “Master’s” degree in Computer Science, Data Science, AI/ML, or a related field.
  • Strong academic or project experience in computer vision, deep learning, or machine learning.
  • Familiarity with libraries and frameworks such as OpenCV, Tensor Flow, or PyTorch.
  • Solid programming skills in Python (preferred) or similar languages.
  • Strong analytical and problem‑solving abilities.
  • Excellent communication and collaboration skills, with the ability to work closely with both technical and operations teams.

Preferred Skills

  • Prior project or internship experience applying AI/ML in logistics, supply chain, or manufacturing environments.
  • Knowledge of warehouse management systems or logistics processes.
Essential Mental & Physical Function

Mental Functions: Decisions may affect a work unit or area within a department. May contribute to business and operational decisions that affect the department. This position performs a variety of routine duties within established policies and procedures or by referral to supervisor's guidelines.

Physical Functions: Sitting required 90% of the time. Walking and standing required 5% of the time respectively. No heavy lifting required. Constant keyboarding and telephone usage.

N/A

Equipment Used

Standard office equipment and Laptop

Pay Transparency

Pay Transparency

This job posting may span more than one job level.

The base salary range for this position in Diamond Bar is $20 – $30 hourly.

Additionally, Newegg offers a wide range of benefits to U.S.

-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, and generous time off for vacation and sick.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings in California. We set standard base pay ranges for all roles based on function, level, and location. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed above.

Standard office working environment

Travel Requirements

N/A

#L1-EZ1

Date Posted

May 18, 2026

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