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Remote Macos Engineer Jobs in Hackensack, NJ (NOW HIRING)

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Remote Macos Engineer information

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$27

$58

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How much do remote macos engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote macos engineer in Hackensack, NJ is $58.49, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $67.88 per hour, depending on experience, location, and employer.

What is a remote MacOS engineer?

A Remote MacOS Engineer is a software developer who specializes in building, maintaining, and optimizing applications for Apple's macOS platform while working remotely. They typically work with technologies like Swift, Objective-C, Cocoa frameworks, and Xcode to develop macOS applications. Their responsibilities may include debugging software, optimizing performance, ensuring security compliance, and collaborating with teams via remote communication tools. This role requires strong knowledge of Apple's development ecosystem and the ability to work independently in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote MacOS engineer?

To thrive as a Remote Macos Engineer, you need strong proficiency in macOS development using languages like Swift or Objective-C, a solid understanding of Apple’s development frameworks, and a degree in computer science or equivalent experience. Experience with Xcode, Git for version control, and familiarity with Apple's Human Interface Guidelines and code signing processes are crucial. Excellent self-motivation, problem-solving, and clear written communication skills help remote teams collaborate effectively. These skills enable engineers to build high-quality macOS applications, navigate versioning or deployment challenges, and work cohesively in distributed environments.

What are some common challenges faced by remote MacOS engineers and how can they overcome them?

Remote Macos Engineers often encounter challenges such as keeping up-to-date with the latest macOS updates, troubleshooting issues without direct access to user devices, and maintaining effective communication with distributed team members. Overcoming these hurdles involves staying engaged with Apple's developer resources, using robust remote debugging tools, and actively participating in regular stand-ups or team syncs. Building strong written documentation and leveraging collaborative platforms like Slack or Jira can greatly enhance teamwork. Emphasizing proactive communication ensures smooth project development and quick resolution of any roadblocks.

What job categories do people searching Remote Macos Engineer jobs in Hackensack, NJ look for?

The top searched job categories for Remote Macos Engineer jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Remote Macos Engineer jobs?

Cities near Hackensack, NJ with the most Remote Macos Engineer job openings:

Infographic showing various Remote Macos Engineer job openings in Hackensack, NJ as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,664 per year, or $58.5 per hour.

Social Media and Video Content Manager

AJAIA

New York, NY • On-site, Remote

Full-time

PTO

Re-posted 12 days ago


Job description

About Ajaia
Ajaia is a fast-growing AI consultancy and product studio that helps organizations move from experimentation to real results. We work across AI Strategy, AI Engineering and Automation, Workforce Enablement, and Custom Product Development, and we build our own AI products alongside client work.
Our mission is to help organizations win the AI moment.
About the role
You will own content execution across social, short and long-form video, podcast workflows, and training video.
You own the calendar, the output, and the numbers. You write platform-native content for LinkedIn, X, and email. You edit video people actually finish watching. You build the AI-assisted workflows that make all of it faster without making it generic.
This role is AI-forward by design. You will use AI daily for ideation, scripting, editing, repurposing, and QA. We expect you to already work this way.
What you will do
  • Own social content operations from planning to publishing to performance reporting
  • Write platform-native content for LinkedIn, X, and email newsletters
  • Edit short and long-form video for marketing and thought leadership
  • Run podcast post-production, clips, and distribution
  • Produce and edit training video for internal and client-facing use
  • Build reusable AI-assisted workflows for scripting, editing, and repurposing
  • Hold the line on brand voice and quality across every output

Requirements
  • 3 to 5 years in social content, video editing, or multi-channel content management
  • Demonstrated ownership of publishing workflows and deadlines
  • Strong writing for LinkedIn, X, and email newsletter formats
  • Experience editing training or educational video
  • Evidence of AI-native execution in daily content work
  • Strong written communication and async habits on a remote team

Portfolio, required. Applications without samples will not be reviewed: LinkedIn, X, email newsletter, and video editing samples covering both short and long-form.
Schedule. Fully remote, with required overlap 9:00 AM to 5:00 PM Eastern Time, Monday through Friday.
Technical. Wired internet 100 Mbps minimum. Intel Core i7, Ryzen 7, or Apple Silicon with 16GB RAM and 256GB free storage. Windows 11 or current macOS. 1080p webcam and mic. Backup power and internet.
Process. Application and portfolio review, two-hour practical assessment, hiring manager interview, final conversation with leadership.
Benefits
  • Competitive base salary plus performance incentives
  • Performance bonus up to 100 percent of base
  • Fully remote with earned flexibility
  • Professional development budget
  • Paid time off

Why join Ajaia
You will own a broad content function spanning social, video, podcast, and training, not one narrow slice of it. You will build thought leadership at a company doing AI implementation work that reaches production, and design scalable content systems rather than grinding out one-off assets.
Let's build what's next.