2

Remote Oil Rig Mechanical Engineer Jobs in New York

Mechanical Engineer At Ehvert Mission Critical, A Salas O'Brien Company, we tell our clients that ... United States (Remote) Travel: <15% Equal Opportunity Employment Statement Salas O'Brien provides ...

... Mechanical engineering, Mechanical design, Engineering, Design, quality engineering, data ... The work is fully remote, self-directed, and focused on using practical science and engineering ...

Remote Commitment: 10 hours/week Role Responsibilities * Review and evaluate written content and AI-generated responses in mechanical engineering for accuracy and quality. * Answer questions and ...

next page

Showing results 1-20

Remote Oil Rig Mechanical Engineer information

What does a remote oil rig mechanical engineer do?

A Remote Oil Rig Mechanical Engineer is responsible for designing, maintaining, and troubleshooting mechanical systems and equipment used on offshore oil rigs. They ensure that machinery such as pumps, engines, and drilling equipment operate efficiently and safely, often coordinating repairs and upgrades remotely from onshore locations using digital monitoring tools. Their role also involves collaborating with rig personnel to implement preventative maintenance schedules and quickly address any technical issues that may arise. This position requires strong analytical skills, knowledge of mechanical engineering principles, and experience with remote monitoring technologies.

How does a remote oil rig mechanical engineer typically collaborate with on-site teams to ensure equipment reliability and safety?

Remote Oil Rig Mechanical Engineers frequently use digital communication tools, such as video conferencing and real-time monitoring software, to collaborate with on-site personnel. They provide expertise in troubleshooting mechanical issues, guide maintenance procedures, and review performance data to recommend preventive actions. Effective collaboration requires clear documentation, regular virtual meetings, and sometimes remote access to control systems to ensure equipment reliability and uphold safety standards on the rig. Building strong relationships and maintaining open communication with on-site staff are key to overcoming the challenges of working remotely.

What are the key skills and qualifications needed to thrive as a remote oil rig mechanical engineer, and why are they important?

To thrive as a Remote Oil Rig Mechanical Engineer, you need a solid background in mechanical engineering, problem-solving skills, and a relevant engineering degree along with certifications such as Professional Engineer (PE) or equivalent. Familiarity with industry-specific software like AutoCAD, CMMS platforms, and knowledge of safety and compliance standards is typically required. Strong communication, teamwork, and adaptability are crucial for coordinating with on-site teams and troubleshooting issues from a distance. These skills ensure the safe, efficient, and reliable operation of mechanical equipment on oil rigs, minimizing downtime and maintaining regulatory compliance.

What is the difference between Remote Oil Rig Mechanical Engineer vs Offshore Oil Rig Mechanical Technician?

AspectRemote Oil Rig Mechanical EngineerOffshore Oil Rig Mechanical Technician
CredentialsBachelor's in Mechanical Engineering, relevant certificationsTechnical diploma or certification in mechanical maintenance
Work EnvironmentRemote or onshore office, occasional site visitsOn-site at offshore rigs, physically present for maintenance
Job FocusDesign, analysis, troubleshooting of mechanical systemsRoutine maintenance, repairs, and equipment operation
Industry UsageUsed by engineering firms and oil companies for planning and oversightHands-on work directly on offshore rigs

The main difference is that Remote Oil Rig Mechanical Engineers focus on design, analysis, and oversight from a remote or onshore location, while Offshore Oil Rig Mechanical Technicians perform hands-on maintenance and repairs directly on offshore rigs. Both roles require technical knowledge, but their work environments and responsibilities differ significantly.

Is it possible to work remotely as a remote oil rig mechanical engineer?

Remote oil rig mechanical engineers typically cannot work entirely remotely due to the hands-on nature of the job, which requires on-site inspection, maintenance, and troubleshooting of equipment. However, some tasks such as design review, reporting, and planning may be performed remotely with appropriate communication tools and software. Most roles still require physical presence on the rig for safety and operational reasons.

What are the most commonly searched types of Oil Rig Mechanical Engineer jobs in New York?

The most popular types of Oil Rig Mechanical Engineer jobs in New York are:

What are popular job titles related to Remote Oil Rig Mechanical Engineer jobs in New York?

For Remote Oil Rig Mechanical Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Oil Rig Mechanical Engineer jobs in New York look for?

The top searched job categories for Remote Oil Rig Mechanical Engineer jobs in New York are:

What cities in New York are hiring for Remote Oil Rig Mechanical Engineer jobs?

Cities in New York with the most Remote Oil Rig Mechanical Engineer job openings:

Remote Mechanical Engineer (Manufacturing)

Turing

Manhattan, NY โ€ข Remote

$100 - $150/hr

Contractor

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


Job description

Turing is looking for candidates with strong experience in mechanical engineering, system design, and production optimization.

Role overview:
  • In this role, you will contribute to projects that help evaluate and enhance AI systems using your engineering knowledge and analytical reasoning skills.
  • No prior AI experience is required.
  • These projects will help you explore how AI can be leveraged to improve technical reasoning, engineering accuracy, and design efficiency across manufacturing workflows.

What does day-to-day look like:
  • Design and solve real-world mechanical and manufacturing engineering problems to test AI reasoning.
  • Write clear, structured solutions covering mechanical design, materials selection, failure analysis, and production methods.
  • Evaluate AI responses for accuracy, clarity, and alignment with engineering principles.
  • Collaborate with researchers to refine AI understanding of simulation reasoning, calculations, and industry standards (ASME, ISO, ASTM).

Requirements:
  • 4+ years of experience as a Mechanical Engineer, Design Engineer, or Manufacturing Engineer.
  • Candidates must have a Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or Mechatronics Engineering.
  • Proficiency with CAD tools (e.g., SolidWorks, AutoCAD, Fusion 360) and engineering analysis methods (FEA, CFD) preferred.
  • Strong English communication and technical reasoning skills.
  • Comfortable using web-based tools for annotation and review.

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.