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Remote Production Jobs in Hawthorne, NJ (NOW HIRING)

Mondo

Video Producer

Manhattan, NY · Remote

$55 - $60/hr

Remote produce shoots or serve as the on-site production lead for live-action shoots when needed. * Scout and book locations, coordinate production logistics, manage insurance requirements, and ...

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Remote Production information

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$10

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How much do remote production jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote production in Hawthorne, NJ is $17.29, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $18.80 per hour, depending on experience, location, and employer.

What is a remote production?

A Remote Production job involves overseeing and managing media, broadcast, or live event production from a remote location. This role typically includes coordinating technical aspects, directing live broadcasts, troubleshooting issues, and ensuring seamless delivery of content. Professionals in this field use cloud-based tools, remote collaboration software, and virtual production techniques to execute projects efficiently. Remote Production is commonly used in television, sports broadcasting, live streaming, and corporate events.

What are the key skills and qualifications needed to thrive in remote production?

To thrive in Remote Production, you need strong project management skills, technical proficiency in production software, and relevant experience or a degree in media production or a related field. Familiarity with tools such as remote editing platforms, live streaming software, and collaboration systems like Slack or Asana is often required. Excellent communication, problem-solving abilities, and the ability to work independently are key soft skills for this remote role. These qualities ensure seamless coordination of production tasks, high-quality deliverables, and effective teamwork across distributed teams.

What are common challenges faced in a remote production role and how can they be addressed?

Remote Production professionals often encounter challenges related to coordinating across time zones, maintaining clear communication with distributed teams, and troubleshooting technical issues from a distance. To address these, it’s important to establish robust communication protocols, use reliable virtual collaboration tools, and maintain flexibility in scheduling. Building strong relationships with team members and being proactive in problem-solving can also greatly help. Embracing a well-organized workflow ensures that production deadlines and quality standards are consistently met, even in a remote setting.

What are the most commonly searched types of Production jobs in Hawthorne, NJ?

The most popular types of Production jobs in Hawthorne, NJ are:

What cities near Hawthorne, NJ are hiring for Remote Production jobs?

Cities near Hawthorne, NJ with the most Remote Production job openings:

Remote Production jobs near you
Infographic showing various Remote Production job openings in Hawthorne, NJ as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, 2% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $35,969 per year, or $17.3 per hour.

Remote Production & Operations Supervisors (Manufacturing)

Manhattan, NY • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$100 - $150/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Turing is looking for candidates with strong experience in manufacturing operations, production workflow management, and team supervision, particularly at the level expected for frontline production or operations leads.
Role overview:
  • In this role, you will contribute to projects that help evaluate and enhance AI systems using your production management and operational expertise.
  • No prior AI experience is required.
  • These projects will help you explore how AI can be used to improve decision-making, process efficiency, and operational coordination across manufacturing environments.

What does day-to-day look like:
  • Design and solve real-world production and operations scenarios to test AI reasoning.
  • Write clear, structured solutions covering workforce scheduling, production control, process optimization, and quality assurance.
  • Evaluate AI responses for accuracy, clarity, and alignment with manufacturing standards.
  • Collaborate with researchers to refine AI understanding of factory workflows, leadership decision-making, and lean manufacturing practices.

Requirements:
  • 4+ years of experience as a Production Supervisor, Operations Lead, or Manufacturing Team Lead.
  • Strong understanding of lean manufacturing, safety compliance, and process improvement principles.
  • Comfortable using web-based tools for data review and annotation.
  • Excellent English communication and ability to explain operational workflows and decisions clearly.

Perks of freelancing with Turing & offer details:
  • Strong compensation (exact amount varies by project).
  • Fully remote work environment.
  • Engagement type: Contractor assignment/freelancer, potentially full-time.
  • Duration of projects: approximately 1 month, with the possibility for extension.

What Turing is NOT seeking from your expertise:
  • Confidential or proprietary information from any employer, university, etc.
  • Trade secrets or internal company or university data.
  • Specific client information or case details.
  • Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.