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Remote Masters Computer Science Jobs in Mount Laurel, NJ

Job Title: UX Researcher (Remote) Location: Conshohocken, PA Duration: 06 Months About you: * You ... Bachelor's degree in Human-Computer Interaction, Statistics, Psychology, Computer Science, or a ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $157K/yr

... Science, Statistics, Mathematics, Computer Science, Engineering, or a related fieldStrong ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $150K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $150K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

This is a remote, contract opportunity for one of Arctiqs clients working EST hours. Position ... Bachelors or Masters degree in Computer Science, Information Systems, or a related field. * 5+ ...

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Remote Masters Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Masters in Computer Science graduate, and why are they important?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

Can I work remotely with a computer science degree?

Remote Masters Computer Science roles are common in the tech industry, allowing professionals to work from anywhere with a reliable internet connection. These jobs often require skills in programming, software development, or data analysis, and may involve collaboration tools like Git or Slack. Many employers offer flexible schedules and remote work options for qualified candidates.

What jobs pay 4000 a week without a degree?

Remote Masters Computer Science professionals can potentially earn $4,000 a week through high-demand roles such as freelance software developers, cybersecurity consultants, or data engineers, especially with specialized skills in programming, cloud computing, or machine learning. These roles often require strong technical expertise, experience, and sometimes certifications, and may involve project-based or contract work that offers high earning potential without a formal degree.

What jobs can you do with a masters in computer science?

A master's in computer science qualifies individuals for roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

How can I make $100,000 a year working from home?

Remote Masters in Computer Science can achieve a $100,000 annual income by gaining specialized skills in software development, data science, or cybersecurity, and obtaining relevant certifications. Building a strong portfolio, freelancing, or working for established companies with remote roles can also help reach this income level, especially with experience and advanced technical expertise.

What are some common challenges faced by students in a remote Master's in Computer Science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What is a Remote Masters in Computer Science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.
What job categories do people searching Remote Masters Computer Science jobs in Mount Laurel, NJ look for? The top searched job categories for Remote Masters Computer Science jobs in Mount Laurel, NJ are:
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

Philadelphia, PA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.
This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.
The candidate must reside within the continental US.
Responsibilities:
  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval-augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:
  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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