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Remote Intelligent Systems Engineering Jobs in Plainfield, NJ

Ambrook

Software Engineer, AI

New York, NY · On-site +1

$115K - $280K/yr

You'll shape how we use LLMs and intelligent systems to make messy, high-stakes financial workflows ... Best practices around ML system design, evaluation, prompt engineering, and scalable AI ...

Pivotal Health

Senior Applied AI/ML Engineer

New York, NY · Remote

$180K - $230K/yr

... learning engineering, LLM applications, agentic systems, or intelligent workflow automation ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Pivotal Health

Senior Applied AI/ML Engineer

New York, NY · Remote

$180K - $230K/yr

... learning engineering, LLM applications, agentic systems, or intelligent workflow automation ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Clera

Senior ML/AI Engineer

New York, NY · Remote

$170K - $230K/yr

As a Senior ML/AI Engineer , you'll work at the intersection of cutting-edge research and real-world enterprise deployment, designing intelligent systems that drive measurable business impact at ...

Eliassen Group

Systems Engineer

New York, NY · Remote

$80 - $90/hr

Hybrid Mostly Remote in New York, NY Our client seeks a Systems Engineer to evaluate, implement ... For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent ...

The AES Group

z/OS System Programming

New York, NY · Remote

Remote Let's create our future together at The AES Group! About The AES Group The AES Group is a ... We help organizations modernize their technology through cloud, data, AI, engineering ...

Stripe

Full Stack Engineer, Link

New York, NY · On-site +1

Across the Link Engineering org, we focus on building delightful payment experiences and allowing ... intelligent systems that help protect consumers and merchants from bad actors. Team matching for ...

Avantos, Inc

Senior DevOps Engineer

New York, NY · On-site +1

$142K - $182K/yr

Senior DevOps Engineer NYC (Hybrid) or US Remote | Competitive + Equity About Avantos Avantos is ... intelligent system that powers workflows, automation, and decision-making. We're a product-led ...

Revic

Software Engineer (Full stack)

New York, NY · Remote

Now we need someone who gets excited about turning chaos into intelligent systems. The Technical ... engineering" isn't engineering ✓ You've debugged distributed systems at 3am (and enjoyed it ...

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All JobsIntelligent Systems Engineering JobsRemote Intelligent Systems Engineering JobsRemote Intelligent Systems Engineering Jobs in Plainfield, NJ

Remote Intelligent Systems Engineering information

See Plainfield, NJ salary details

$54.9K

$130.5K

$171.3K

How much do remote intelligent systems engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote intelligent systems engineering in Plainfield, NJ is $130,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $161,100.00 per year, depending on experience, location, and employer.

What is remote intelligent systems engineering?

Remote Intelligent Systems Engineering refers to the design, development, and maintenance of intelligent systems—such as AI-driven automation, robotics, or smart devices—while working from a remote location. Professionals in this field use advanced technologies to create systems that can perceive, learn, and make decisions, often collaborating with team members and clients virtually. This role typically requires expertise in artificial intelligence, machine learning, software engineering, and remote collaboration tools. The flexibility of remote work allows engineers to contribute to complex projects from anywhere, making it a popular choice in today's global tech industry.

What are some common challenges faced by professionals in remote intelligent systems engineering, and how can they be addressed?

Professionals in Remote Intelligent Systems Engineering often encounter challenges such as coordinating with distributed teams across different time zones, ensuring secure and reliable remote system operations, and maintaining effective communication during troubleshooting or system updates. To address these issues, engineers typically rely on robust collaboration tools, establish clear communication protocols, and schedule regular virtual meetings. Additionally, staying updated on best practices for cybersecurity and remote monitoring helps ensure smooth operation and rapid response to potential issues.

What are the key skills and qualifications needed to thrive as a remote intelligent systems engineer, and why are they important?

To thrive as a Remote Intelligent Systems Engineer, you need a strong background in systems engineering, programming (such as Python, C++, or Java), and AI/machine learning principles, often supported by a relevant degree in engineering or computer science. Familiarity with tools like MATLAB, TensorFlow, ROS (Robot Operating System), and cloud-based platforms is typically required, along with certifications in AI or systems engineering. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for remote collaboration and project success. These qualifications and skills are crucial for designing, implementing, and maintaining complex intelligent systems while effectively collaborating with distributed teams.

What is the difference between Remote Intelligent Systems Engineering vs Remote Robotics Engineering?

AspectRemote Intelligent Systems EngineeringRemote Robotics Engineering
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of AI, machine learning, and systems integrationBachelor's/Master's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentPrimarily software-focused, designing and developing intelligent systems remotelyCombination of software and hardware tasks, often involving remote collaboration on robotic systems
Industry UsageUsed across AI, automation, and software development companiesCommon in manufacturing, automation, and research institutions

Remote Intelligent Systems Engineering focuses on designing and developing software-driven intelligent systems, while Remote Robotics Engineering emphasizes both hardware and software aspects of robotic systems. Both roles require technical expertise and are prevalent in tech and industrial sectors, but they differ mainly in their focus on software versus hardware components.

How much do remote intelligent systems engineers make?

Remote intelligent systems engineers typically earn between $80,000 and $130,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in AI, machine learning, or robotics can command higher salaries, especially with proficiency in programming languages like Python and tools such as TensorFlow or ROS.

What job categories do people searching Remote Intelligent Systems Engineering jobs in Plainfield, NJ look for?

The top searched job categories for Remote Intelligent Systems Engineering jobs in Plainfield, NJ are:

What cities near Plainfield, NJ are hiring for Remote Intelligent Systems Engineering jobs?

Cities near Plainfield, NJ with the most Remote Intelligent Systems Engineering job openings:

Remote Intelligent Systems Engineering jobs near you

Systems Engineer - AI Model Evaluator

Mercor

New York, NY • Remote

$85/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Systems Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex engineering tasks.
  • Review model-generated code, architecture decisions, and systems implementations.
  • Identify bugs, edge cases, performance bottlenecks, and failure modes.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic systems engineering scenarios.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • 2+ years of professional systems engineering experience.
  • Experience with distributed systems, networking, operating systems, storage systems, infrastructure software, or database internals.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated systems designs and implementations.

Preferred

  • Experience building highly scalable and performance-critical systems.

Compensation & Legal

  • $400 per accepted task
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.