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Internship Remote Junior Software Developer Jobs in Secaucus, NJ

Junior Business Analyst - Fully Remote

New York, NY ยท On-site +1

$29 - $38.75/hr

We're a global software consultancy that loves solving complex problems with technology. We bridge ... internships is a plus. Our benefits - 401k Retirement Plan: Secure your future with our ...

Senior Software Engineer

New York, NY ยท Remote

$150K - $185K/yr

... aSenior Software Engineerwith deep backend expertise and enterprise experience to lead the ... mentoring junior engineers. You'll work across a remote-first engineering team to design and ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer - Remote

New York, NY ยท Remote

$134K - $176K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Showing results 41-60

Internship Remote Junior Software Developer information

See Secaucus, NJ salary details

$24.4K

$90.5K

$139.8K

How much do internship remote junior software developer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship remote junior software developer in Secaucus, NJ is $90,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $88,500.00 per year, depending on experience, location, and employer.

What does a remote junior software developer intern do?

A remote junior software developer intern assists with software development tasks such as coding, debugging, testing, and documentation under the supervision of senior developers. They typically work on real-world projects, learn new programming languages or frameworks, and collaborate with team members using online communication tools. The internship is designed to help them gain practical experience and build foundational skills for a future career in software development while working from a remote location.

What types of projects and tasks can I expect to work on as a remote junior software developer intern?

As a remote junior software developer intern, you will typically be assigned to real-world projects that involve coding, debugging, and testing software under the guidance of more experienced developers. You might work on tasks such as fixing bugs, developing small features, writing unit tests, or updating documentation. Interns often collaborate with team members through virtual meetings, code reviews, and messaging platforms, which helps build communication and teamwork skills. This structure allows you to gain practical experience while receiving mentorship and feedback to support your growth in the role.

What are the key skills and qualifications needed to thrive as a remote junior software developer intern?

To thrive as an Internship Remote Junior Software Developer, you need foundational programming skills (such as Python, Java, or JavaScript), a basic understanding of software development principles, and often an ongoing or completed degree in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and popular frameworks or libraries is typically required. Strong communication, self-motivation, and problem-solving abilities are essential soft skills for collaborating remotely and learning effectively. These skills and qualities are vital for contributing to development projects, adapting to remote work environments, and growing quickly in a supportive team setting.

What is the difference between Internship Remote Junior Software Developer vs Remote Software Engineer?

AspectInternship Remote Junior Software DeveloperRemote Software Engineer
CredentialsTypically pursuing or recently completed a degree in CS or related fieldBachelor's or higher in CS or related field, often with some experience
Work EnvironmentInternship, often part-time or temporary, supervised by senior staffFull-time remote position with project responsibilities
Employer UsageEntry-level, training-focused role for skill developmentProfessional role with independent project contributions
Search & Comparison IntentLearning, entry-level opportunities, internshipsFull-time employment, career advancement

The main difference is that an Internship Remote Junior Software Developer is an entry-level, training-focused role designed for skill development, often temporary and supervised. In contrast, a Remote Software Engineer is a full-time professional position requiring more experience, with independent project responsibilities and career growth opportunities.

What are popular job titles related to Internship Remote Junior Software Developer jobs in Secaucus, NJ?

For Internship Remote Junior Software Developer jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Internship Remote Junior Software Developer jobs in Secaucus, NJ look for?

The top searched job categories for Internship Remote Junior Software Developer jobs in Secaucus, NJ are:

Infographic showing various Internship Remote Junior Software Developer job openings in Secaucus, NJ as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $90,460 per year, or $43.5 per hour.

Artificial Intelligence Software Engineer

10xTalents

Manhattan, NY โ€ข On-site, Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Artificial Intelligence Software Engineer About the job Artificial Intelligence Software Engineer Artificial Intelligence Software Engineer - Hybrid/Remote - NYC No visa sponsorship available at this time. Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications. Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.

Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems. Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization. Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.

Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products. Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools. Document design specifications, implementation details, and best practices for internal and external stakeholders. Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred. Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role. Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.

Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models. Familiarity with software engineering best practices, including version control, testing, and code review. Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.

Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.