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Remote Teen Computer Science Jobs in New Mexico (NOW HIRING)

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

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Remote Teen Computer Science information

What is a remote teen computer science job?

Remote teen computer science jobs are work opportunities in the technology field that can be performed online by teenagers, typically aged 13 to 19. These jobs may include roles like coding internships, web development, software testing, or tech support, allowing teens to gain practical experience and earn money from home. Such positions often require basic programming knowledge, strong problem-solving skills, and the ability to work independently. Remote jobs help teens build their resumes and explore potential career paths in computer science before entering college or the workforce.

What skills and qualifications are needed to thrive as a remote teen computer science instructor?

To thrive as a Remote Teen Computer Science Instructor, you need a solid background in computer science fundamentals and programming, often supported by a degree or relevant teaching experience. Familiarity with online learning platforms, coding environments such as Python or Java, and virtual collaboration tools is typically required. Strong communication, patience, and the ability to engage and motivate teenagers are essential soft skills for success in this teaching role. These skills ensure effective knowledge transfer, foster student engagement, and help create a positive remote learning environment for teens.

What are common challenges faced by remote teen computer science instructors and how can they be addressed?

Remote teen computer science instructors often encounter challenges such as keeping students engaged in a virtual environment, managing diverse skill levels, and facilitating hands-on coding practice remotely. Effective strategies include using interactive tools, incorporating collaborative projects, and providing clear, structured lesson plans. Building a supportive online community and offering regular feedback also help maintain motivation and participation among young learners.

What is the difference between Remote Teen Computer Science vs Remote Teen Web Development?

AspectRemote Teen Computer ScienceRemote Teen Web Development
Required SkillsProgramming fundamentals, algorithms, problem-solvingHTML, CSS, JavaScript, basic design
CertificationsNone typically required, but coding courses helpfulNone typically required, but coding bootcamps beneficial
Work EnvironmentOnline learning platforms, coding projectsWebsite projects, client work, personal portfolios
Industry UsageEducation, tech startups, software companiesDigital agencies, freelance work, startups

Remote Teen Computer Science focuses on foundational programming skills and problem-solving, suitable for various tech roles. Remote Teen Web Development emphasizes building websites and user interfaces, often involving design and front-end skills. Both roles are ideal for teens interested in tech, but they differ in technical focus and project types.

Can I work remotely with a computer science degree?

Yes, a computer science degree can qualify you for remote work opportunities in software development, programming, data analysis, and other tech roles. Many companies offer remote positions that require skills in coding languages, problem-solving, and familiarity with collaboration tools like Git and Slack.

What are popular job titles related to Remote Teen Computer Science jobs in New Mexico?

For Remote Teen Computer Science jobs in New Mexico, the most frequently searched job titles are:

What cities in New Mexico are hiring for Remote Teen Computer Science jobs?

Cities in New Mexico with the most Remote Teen Computer Science job openings:

Infographic showing various Remote Teen Computer Science job openings in New Mexico as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Postdoctoral Researcher - Space Remote Sensing and Data Science

Los Alamos, NM • On-site, Remote

Los Alamos National Laboratory
Scientific Research and Development Services • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Key responsibilities

  • Work closely with interdisciplinary teams on projects related to remote sensing, data science, image and signal processing, machine learning, and sensor data analysis.

  • Develop and apply algorithms to process and analyze sensor data, including images, spectra, and time series.

  • Participate in designing, calibrating, and collecting remote-sensing data from space, airborne, ground-based, and laboratory systems.


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz


Job description

Description
Job Title Postdoctoral Researcher - Space Remote Sensing and Data Science
Location Los Alamos, NM, US
Organization Name ISR-6/Space Remote Sensing and Data Science
Minimum Salary
Maximum Salary
What You Will Do
This position is for a postdoctoral researcher in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with interdisciplinary teams on projects related to remote sensing, data science, image and signal processing, machine learning, and sensor data analysis. Responsibilities will be tailored to your background and interests, with opportunities to contribute to innovative research and development.
As a postdoctoral researcher, you will be involved in advancing methods and technologies for collecting, processing, analyzing, and interpreting data from space, airborne, ground-based, and laboratory remote-sensing systems. Candidates should have broad technical skills and an interest in applying computational and analytical techniques to scientific challenges.
In this role, you may contribute to one or more of the following areas:
  • Developing and applying algorithms to process and analyze sensor data (including images, spectra, time series, or other types)
  • Using statistical, mathematical, or computational methods to address detection and characterization problems
  • Modeling sources, sensors, and measurement uncertainties
  • Analyzing and interpreting experimental or field-collected data
  • Contributing to the design or calibration of sensing systems and instruments
  • Participating in laboratory, field, or deployment activities to collect and evaluate remote-sensing data
  • Communicating research findings through reports, presentations, publications, and teamwork

What You Need
Minimum Job Requirements:

  • PhD in engineering, physical sciences, computer science, mathematics, or a related field (or will have completed by start date)
  • General experience in scientific computing, data analysis, or algorithm development
  • Ability to work collaboratively with diverse teams and communicate research results effectively
  • Demonstrated strong analytical problem-solving abilities to overcome technical challenges in remote sensing and data science challenges

Desired Qualifications:
  • Familiarity with one or more areas such as image/signal processing, machine learning, statistical analysis, sensor systems, or scientific software
  • Experience with programming languages or scientific computing tools
  • Experience with experimental or field research, instrumentation, or data collection
  • Willingness to develop new skills and contribute to collaborative research projects

Physical Requirements:
  • Physical movement between buildings located primarily within a half-mile radius, which may include movement across uneven and/or inclined ground
  • Physical movement within large interior facility spaces and corridors, which may require travel up and down stairs
  • Direct interaction with hardware, equipment, and instruments in office and laboratory environments

Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Please submit a resume and a cover letter describing your research interests, relevant experience, and how your background aligns with the position. Highlight any experience in scientific computing, data analysis, remote sensing, sensor research, or other areas relevant to the role.
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

ISR-6 is a research group that designs and deploys advanced sensing systems and analysis tools for mission areas including nuclear non-proliferation, space domain awareness, atmospheric and planetary science, and applied intelligence. The group's staff includes engineers, scientists, and data specialists working collaboratively to develop cutting-edge technologies.
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage.
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.
Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to apply:
Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.
If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status
Appointment Type Postdoc
Postdoc

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