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Oil Rig Fly In Fly Out Jobs in Novato, CA (NOW HIRING)

Maps Intern (Summer 2027)

South San Francisco, CA · On-site

$18 - $24/hr

To power this, the Maps Team is building out the long term scalable solutions that enable us to fly in new countries and regions as rapidly as possible. This team is responsible for building tools ...

Intern - Device Build

San Francisco, CA · On-site

$19.75 - $25.50/hr

Curious about why things fail and persistent enough to find out * Comfortable in ambiguity - processes here are still being written, and you'll help write them Nice to have * You know how to fly. A ...

Intern - Device Build

San Francisco, CA · On-site

$19.75 - $25.50/hr

... out Comfortable in ambiguity -- processes here are still being written, and you'll help write them Nice to have You know how to fly. A private pilot certificate, student pilot time, or any flight ...

Team of 20 co-live in our Warsaw & SF Hacker Houses * 7 figure ARR transacting ~$50M a week through our system The Job * Go. Fly out and plant yourself inside the customer's operation. Weekdays are ...

Team of 20 co-live in our Warsaw & SF Hacker Houses * 7 figure ARR transacting ~$50M a week through our system The Job * Go. Fly out and plant yourself inside the customer's operation. Weekdays are ...

GNC Engineer

Alameda, CA · On-site

$115K - $140K/yr

Test: build out test automation across Simulink simulation, hardware-in-the-loop, engine test cells, and integrated vehicles * Fly: support launch from mission control and fulfill GNC ...

GNC Engineer

Alameda, CA · On-site

$115K - $140K/yr

Test: build out test automation across Simulink simulation, hardware-in-the-loop, engine test cells, and integrated vehicles * Fly: support launch from mission control and fulfill GNC ...

Open up offices in places with many teammates (we currently have offices in SF and NYC). * Make it easy to fly out and meet together. Below are the values we share as a team, so if you like these ...

SIM Lead

San Francisco, CA · On-site

$155K - $230K/yr

Our simulation ('SIM') systems replicate vehicle dynamics, avionics, and mission software so engineers can safely develop, test, and validate new capabilities before they ever fly in the stratosphere.

Showing results 21-40

Oil Rig Fly In Fly Out information

See Novato, CA salary details

$17

$26

$45

How much do oil rig fly in fly out jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for oil rig fly in fly out in Novato, CA is $26.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $33.61 per hour, depending on experience, location, and employer.

What is the difference between Oil Rig Fly In Fly Out vs Oil Rig Roustabout?

AspectOil Rig Fly In Fly OutOil Rig Roustabout
CredentialsCertifications like H2S, BOSIET, and safety trainingSimilar safety certifications and basic technical training
Work EnvironmentRemote offshore rigs, rotating schedulesOffshore or onshore oil rigs, manual labor roles
Employer & Industry UsageCommon in offshore oil industry, especially in remote locationsWidely used for general maintenance and support roles on rigs

Both roles require safety certifications and involve offshore work, but Oil Rig Fly In Fly Out workers typically operate on a rotating schedule, traveling to remote rigs, while Oil Rig Roustabouts perform manual labor and maintenance tasks on the rig itself.

What cities near Novato, CA are hiring for Oil Rig Fly In Fly Out jobs?

Cities near Novato, CA with the most Oil Rig Fly In Fly Out job openings:

Infographic showing various Oil Rig Fly In Fly Out job openings in Novato, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $55,409 per year, or $26.6 per hour.

Maps Intern (Summer 2027)

South San Francisco, CA • On-site

$18 - $24/hr

Other

Posted 16 days ago


Job description

About Zipline

Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.

Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations.

Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

About the Maps Team

Zipline builds and operates autonomous delivery systems that enable fast, reliable, and sustainable delivery for businesses and consumers, transforming how goods move in everyday commerce. To power this, the Maps Team is building out the long term scalable solutions that enable us to fly in new countries and regions as rapidly as possible. This team is responsible for building tools and services that produce artifacts used by our vehicles to fly their missions in the real world. This means the outputs from the Maps Team define the places our vehicles will fly in the world, their constraints, and provide strong priors for the real-time system on the vehicle to follow to accomplish its mission safely.

The Role

In this role you will contribute to, build, and own portions of Zipline's Maps stack. That includes contributing to an extensible path planning service used for generating routes that are operationally flown every day. It also includes a suite of services for data generation, transformation and access for path planning and flight data analytics. Your work within the team could range from path planning algorithms, validation of artifacts for compliance with flight requirements, to spatial data generation and data transformation pipelines. Your work will help us achieve multi-objective routing and efficient spatial data ingestion and access, enabling Zipline to serve more customers around the world. From this internship, you can expect to learn about how theoretical path planning algorithms are adapted for a real world problem, and how data and spatial search interact to enable routing in air. Our ideal candidate works well in startup environments, is comfortable wearing many hats, and is excited to learn about many aspects of how Zipline's spatial planning works today.

What You'll Do

  • Work on services that generate routes and spatial planning artifacts
  • Use tools to visualize and evaluate geospatial features that impact serviceability
  • Work with teams to make spatial data accessible instantaneously anywhere in the world
  • Improve planning algorithms to make routing fast, safe, and reliable

Examples of Previous Internship Projects

  • Prototyping a new path planning algorithm to enhance long-range routes
  • Incorporating a multidimensional risk data into the routing engine
  • Creating tooling for generating composite Digital Elevation Models
  • Building infrastructure to enable our zips to survey large areas

What You'll Bring

  • Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible
  • Strong analytical and technical problem solving skills
  • Deep understanding of algorithmic optimization
  • Proficient coding and programming skills
  • Understanding of automated testing practices
  • Preferred experience supporting or developing novel algorithmic research
  • Preferred experience with spatial data

What Else You Should Know

This internship is a full-time position, in-person at our South San Francisco office. We will host our Summer 2027 interns from (May/June - August/September).

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.