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Intern Web Developer Internship Jobs in Point Pleasant Beach, NJ

Guardianlife

Lead Software Engineer.

Holmdel, NJ · Hybrid

$118K - $195K/yr

Mastery of web fundamentals, including vanilla Javascript, HTML, CSS, and web core vitals ... Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an ...

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All JobsIntern Web Developer JobsIntern Web Developer Internship JobsIntern Web Developer Internship Jobs in Point Pleasant Beach, NJ

Intern Web Developer Internship information

See Point Pleasant Beach, NJ salary details

$9

$17

$24

How much do intern web developer internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intern web developer internship in Point Pleasant Beach, NJ is $17.48, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 per hour, depending on experience, location, and employer.

What is the difference between Intern Web Developer Internship vs Web Developer?

AspectIntern Web Developer InternshipWeb Developer
Required CredentialsBasic knowledge of HTML, CSS, JavaScript; often students or recent graduatesProven experience, often with a degree in Computer Science or related field
Work EnvironmentEntry-level, supervised, learning-focusedFull-time, independent, project-driven
Employer & Industry UsageInternships offered by companies for training purposesFull-time roles in tech, e-commerce, media, etc.
Search & Comparison IntentUnderstanding entry-level opportunities and training rolesSeeking full-time employment or career advancement

The Intern Web Developer Internship is an entry-level position designed for individuals gaining initial experience in web development, often with minimal professional credentials. In contrast, a Web Developer role requires proven skills, experience, and often a formal degree. Internships focus on training and learning, while Web Developer positions involve independent project work and responsibility.

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For Intern Web Developer Internship jobs in Point Pleasant Beach, NJ, the most frequently searched job titles are:

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Cities near Point Pleasant Beach, NJ with the most Intern Web Developer Internship job openings:

Intern Web Developer Internship jobs near you
Infographic showing various Intern Web Developer Internship job openings in Point Pleasant Beach, NJ as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, 1% Temporary, and 6% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $36,365 per year, or $17.5 per hour.

Artificial Intelligent LLM Research & Development Co-Op / Intern

Pereless Systems

Red Bank, NJ

$15.50 - $20.50/hr

Full-time

Re-posted 16 days ago

Job description

At Pereless Systems, we are the leading recruiting cloud platform since 2000, we are at the forefront of AI and machine learning innovation, driving solutions that impact the future. Our team is dedicated to creating cutting-edge technologies that enhance human capabilities and streamline processes. We are currently seeking a passionate and skilled AI LLM Co-op/Intern to join our dynamic team. This role is an exciting opportunity to train and tune existing open-source models with resume content and provide summary and prediction for future applicants.

Why Join Us?

Pereless Systems offers a dynamic and supportive work environment where innovation and initiative are celebrated. As part of our team, you'll have the opportunity to work on groundbreaking projects and make substantial contributions to the field of AI. We provide comprehensive mentorship, professional development opportunities, and a network of industry experts to ensure your co-op/internship experience is exceptionally rewarding.

As an AI LLM Co-op/Intern, you will work closely with our AI research and development team to contribute to the enhancement of our AI systems. Your primary focus will be on the training and tuning of existing open-source language model frameworks, specifically targeting the optimization of resume content processing. You will also assist in developing models that can provide insightful summaries and predictions regarding future job applicants, aiding in our recruitment processes.

Key Responsibilities:

  • Collaborate with AI experts to understand and contribute to the development pipeline of language models.
  • Train and fine-tune open-source AI models using large datasets, particularly resume content.
  • Evaluate model performance and apply iterative improvements.
  • Develop and implement algorithms capable of generating summaries and predictive analyses of job applicants.
  • Document and report findings, insights, and methodologies throughout the development process.
  • Stay updated with the latest trends and advancements in AI and machine learning.

  • Legally authorized to work permanently in the U.S. and not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
  • Actively enrolled in an accredited university through the duration of co-op assignment pursuing a Bachelor's, Master's or PhD degree
  • Ability to commit to 6-month duration - 40 hours per week (Monday - Friday) for the length of the assignment (June 17, 2024 - December 13, 2024)
  • Minimum cumulative 3.0 GPA
  • Currently enrolled in or recently graduated from a degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong foundation in AI principles, machine learning, and natural language processing (NLP).
  • Experience with Python programming and libraries such as TensorFlow, PyTorch, or similar.
  • Familiarity with open-source language models and frameworks.
  • Ability to handle large datasets and perform data cleaning and preprocessing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Prior experience or projects involving natural language processing or machine learning.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Contributions to open-source projects or publications in relevant fields.