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Remote Marine Science Jobs in Arizona (NOW HIRING)

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Showing results 21-22

Remote Marine Science information

See Arizona salary details

$110.9K

$118.8K

$144.9K

How much do remote marine science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote marine science in Arizona is $118,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $116,500.00 per year, depending on experience, location, and employer.

What is remote marine science?

A Remote Marine Science job involves conducting research, data analysis, and conservation efforts related to oceanography, marine biology, and environmental science from a remote location. These roles often include tasks such as analyzing satellite data, developing models, reviewing literature, or coordinating conservation projects using digital tools. Remote marine scientists may work for universities, government agencies, environmental organizations, or private companies. While fieldwork may be limited, collaboration with in-person researchers and the use of remote sensing technologies are common.

What are the key skills and qualifications needed for remote marine science?

To excel in Remote Marine Science, you need a background in marine biology or oceanography, strong analytical skills, and expertise in data interpretation, often supported by an advanced degree. Familiarity with remote sensing tools, GIS software, satellite data analysis, and certifications such as SCUBA or drone piloting may be required. Excellent communication, self-motivation, and problem-solving abilities are important soft skills for success in remote collaborations. These competencies ensure effective research, accurate data collection, and productive teamwork despite the challenges of working from a distance.

What are some typical challenges faced by remote marine science professionals, and how can they be addressed?

Remote marine science professionals often encounter challenges related to limited field site access, reliance on digital communication, and occasional difficulties collaborating across different time zones or disciplines. To address these, it's important to develop strong organizational habits, leverage virtual collaboration tools, and maintain proactive communication with your team. Employers may provide training in specialized software and facilitate regular meetings to keep remote staff aligned and supported. Adaptability and resourcefulness also play a key role in ensuring field data quality and project success. By building effective routines and staying connected with colleagues, you can thrive in this dynamic and impactful field.

What are popular job titles related to Remote Marine Science jobs in Arizona?

For Remote Marine Science jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Marine Science jobs in Arizona look for?

The top searched job categories for Remote Marine Science jobs in Arizona are:

What cities in Arizona are hiring for Remote Marine Science jobs?

Cities in Arizona with the most Remote Marine Science job openings:

Infographic showing various Remote Marine Science job openings in Arizona as of August 2026, with employment types broken down into 68% Full Time, 22% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,815 per year, or $57.1 per hour.

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Re-posted 3 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.