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Computer Science Entry Level Remote Jobs in St Louis, MO

The Timberline Group

C# / Angular Developer

Saint Peters, MO · On-site +1

$52.25 - $64/hr

On-site only - Remote work is not available for this position * Candidates must be U.S. Citizens or ... Bachelor's degree in Computer Science or similar field (or equivalent experience). * Expert ...

micro1 AI

AI Training Specialist - Physics

Saint Louis, MO · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

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Computer Science Entry Level Remote information

What are the key skills and qualifications needed to thrive in a computer science entry level remote position?

To thrive as a Computer Science Entry Level Remote professional, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and a relevant bachelor's degree or equivalent coursework. Familiarity with version control systems (like Git), collaborative coding platforms, and project management tools is typically required. Strong organizational skills, proactive communication, and the ability to work independently are crucial soft skills for remote work. These abilities ensure you can deliver quality technical solutions, collaborate effectively with distributed teams, and adapt to the unique demands of a remote environment.

What is a computer science entry level remote?

A Computer Science Entry Level Remote job is a position for recent graduates or individuals with minimal experience in computer science, allowing them to work from home or another remote location. These roles often involve software development, data analysis, IT support, or QA testing. Employers typically seek candidates with programming knowledge, problem-solving skills, and familiarity with technologies like Python, Java, or SQL. Remote work requires strong communication and self-discipline to collaborate effectively with teams.

What are some typical challenges faced by entry-level computer science professionals working remotely?

Entry-level computer science professionals working remotely often face challenges such as managing time effectively without direct supervision, staying motivated, and overcoming feelings of isolation. Communication can also be more complex, as remote teams rely heavily on written channels and scheduled meetings to collaborate. However, most companies provide onboarding support, mentoring programs, and regular check-ins to help new hires integrate smoothly. Developing strong self-discipline and proactively reaching out to coworkers can significantly ease the transition and contribute to long-term success in a remote role.

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For Computer Science Entry Level Remote jobs in St. Louis, MO, the most frequently searched job titles are:

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The top searched job categories for Computer Science Entry Level Remote jobs in St. Louis, MO are:

Computer Science Entry Level Remote jobs near you
Infographic showing various Computer Science Entry Level Remote job openings in St. Louis, MO as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution.

Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Saint Louis, MO • Remote

$51K/yr

Full-time

Posted 11 days ago

U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 538 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience utilizing existing workflows or assisting in the development of techniques to process imagery, raster, and/or 3D data
Academic or professional experience applying fundamental concepts of imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience applying established remote sensing analytic techniques to assist in solving scientific or operational intelligence problems
Experience contributing to the development of written reports or briefings to communicate findings
Experience working with team members to complete assigned tasks
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Academic or professional experience researching analytical techniques in published literature related to remote sensing
Knowledge of scripting languages (such as Python, R, or Matlab) for data processing or analysis
Familiarity with or academic exposure to how artificial intelligence, machine learning computer vision, and/or automated feature extraction concepts are applied to remote sensing
Experience assisting with the operation, calibration, or testing of satellite, airborne, and/or ground imaging systems and chemical analysis instruments
Knowledge of standard remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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