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Part Time Computer Science Jobs in Jacksonville, FL

The Non-Student Interviewer position at the Public Opinion Research Laboratory is a part-time ... Enter responses accurately into a computer system while speaking with participants Statement(s) of ...

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Part Time Computer Science information

See Jacksonville, FL salary details

$52.4K

$77K

$90.8K

How much do part time computer science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for part time computer science in Jacksonville, FL is $77,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $86,600.00 per year, depending on experience, location, and employer.

What are part-time jobs in computer science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

What is the easiest part time computer science job to get?

Part-time roles such as data entry, technical support, or basic web development are generally easier to obtain in computer science, especially for those with foundational skills in programming, troubleshooting, or using common tools like HTML or Excel. These positions often require minimal experience and can be suitable for students or those new to the field.

What is the difference between Part Time Computer Science vs Part Time Software Developer?

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What jobs can you get with a part time computer science degree?

A part-time computer science degree can qualify you for roles such as software developer, web developer, technical support specialist, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases or coding environments, and may be suitable for flexible or entry-level schedules.

What are the key skills and qualifications needed to thrive as a part-time computer science instructor, and why are they important?

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

What are some common challenges faced by part-time computer science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.
What are the most commonly searched types of Computer Science jobs in Jacksonville, FL? The most popular types of Computer Science jobs in Jacksonville, FL are:
What are popular job titles related to Part Time Computer Science jobs in Jacksonville, FL? For Part Time Computer Science jobs in Jacksonville, FL, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Science jobs in Jacksonville, FL look for? The top searched job categories for Part Time Computer Science jobs in Jacksonville, FL are:
What cities near Jacksonville, FL are hiring for Part Time Computer Science jobs? Cities near Jacksonville, FL with the most Part Time Computer Science job openings:
Infographic showing various Part Time Computer Science job openings in Jacksonville, FL as of August 2026, with employment types broken down into 24% Full Time, and 76% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $77,006 per year, or $37 per hour.

Field Application Engineer - Temporary Part Time - Jacksonville, Tampa FL

FieldAI

Jacksonville, FL • On-site

Part-time

Posted 14 days ago


Job description

Field Application Engineer
 
Location: Jacksonville, FL
About Field AI

Field AI is at the forefront of robotic embodied AI, transforming industries such as construction, security, mining, and manufacturing. Our autonomous robotic systems operate globally in complex and demanding environments, providing customers with critical operational insights and capabilities. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to create meaningful real-world impact.

Our team includes experts from NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and many other world-class organizations. Together, we are united by a shared passion for redefining the future through robotics and autonomous systems.

Learn more at https://fieldai.com.

About the Role

We are seeking a proactive and technically skilled Field Application Engineer to lead customer deployments and support the implementation of Field AI's autonomous robotic systems, including quadrupeds, rovers, and humanoid robots.

This role serves as a primary technical point of contact between customers, field operations, and engineering teams. The ideal candidate combines strong technical aptitude with project management and customer engagement skills and is comfortable operating in dynamic field environments where independent judgment, technical problem-solving, and effective communication are critical to success.

What You Will Do
  • Serve as the primary technical point of contact for customers throughout deployment, testing, and operational activities
  • Lead customer-facing engagements related to deployment planning, implementation, system performance, and ongoing support
  • Develop deployment plans, project timelines, operational procedures, and technical implementation strategies for autonomous robotic systems
  • Coordinate and drive execution across engineering, operations, and customer teams to ensure successful project outcomes
  • Deploy and supervise advanced robotic systems in customer and field environments
  • Troubleshoot complex hardware, software, autonomy, networking, and systems integration issues in live operational settings
  • Evaluate field performance data and communicate findings, risks, and recommendations to engineering and product teams
  • Manage multiple customer deployments and technical projects simultaneously while balancing competing priorities and timelines
  • Lead technical reviews, deployment readiness assessments, and project status discussions with internal and external stakeholders
  • Act as a trusted advisor to customers by translating complex technical concepts into actionable operational guidance
  • Document technical findings, deployment outcomes, and customer feedback to influence product development and deployment strategies
  • Identify opportunities to improve deployment processes, customer experience, operational efficiency, and product adoption
  • Support demonstrations, field testing activities, and strategic customer engagements
Technical Qualifications
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related technical discipline
  • Strong analytical and problem-solving skills with the ability to diagnose and resolve complex technical issues
  • Hands-on experience with robotics platforms, autonomous systems, drones, quadrupeds, humanoids, or related technologies
  • Familiarity with sensors, electronics, embedded systems, networking, and robotic subsystems
  • Programming or scripting experience using Python, C++, or similar languages
  • Ability to independently evaluate technical challenges and develop practical solutions in uncertain environments
  • Strong technical communication skills with the ability to effectively communicate with both technical and non-technical audiences
  • Ability to interpret field data and provide actionable recommendations to engineering and product teams
Project Management & Customer Leadership
  • Experience serving as a customer-facing technical point of contact
  • Ability to independently manage deployment projects, schedules, technical deliverables, and stakeholder expectations
  • Strong project management skills, including planning, prioritization, risk assessment, issue resolution, and execution
  • Experience coordinating cross-functional teams to execute complex technical initiatives
  • Ability to exercise independent judgment when resolving technical, operational, and customer-facing challenges
  • Skilled at balancing customer requirements, technical constraints, and business objectives in dynamic environments
  • Strong written and verbal communication skills, including customer presentations, project updates, and technical documentation
Additional Qualifications
  • Comfortable with frequent travel and working on-site with customers and field teams
  • Ability to adapt to rapidly changing priorities, environments, and operational requirements
  • Strong organizational skills and ability to manage multiple concurrent projects
  • Self-motivated with a high degree of ownership, accountability, and initiative
  • Ability to occasionally lift and move equipment weighing up to 50 pounds as required during deployments

Field AI will never ask candidates to provide personal financial or account information as part of the recruiting process.

$21 - $25 an hour
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.
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