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Computer Science Education Jobs in Miami, FL (NOW HIRING)

Data Scientist

Miami, FL ยท On-site +1

Education * Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science ...

Associate degree in related science education, preferred. * Requires 1-2 years experience in ... Computer literacy (M.S. Word & Excel). JOB RESPONSIBILITIES: * Communicate regularly with QC ...

Associate degree in related science education, preferred. * Requires 1-2 years experience in ... Computer literacy (M.S. Word & Excel). JOB RESPONSIBILITIES: * Communicate regularly with QC ...

Associate degree in related science education, preferred. * Requires 1-2 years experience in ... Computer literacy (M.S. Word & Excel). JOB RESPONSIBILITIES: * Communicate regularly with QC ...

Associate degree in related science education, preferred. * Requires 1-2 years experience in ... Computer literacy (M.S. Word & Excel). JOB RESPONSIBILITIES: * Communicate regularly with QC ...

Education: * A Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or seven (7) years of equivalent experience in machine learning and predictive modeling.

This position requires knowledge that is acquired through experience, specialized education or ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Posted today

This position requires knowledge that is acquired through experience, specialized education or ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Posted today

Showing results 41-60

Computer Science Education information

See Miami, FL salary details

$54K

$79.5K

$93.7K

How much do computer science education jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer science education in Miami, FL is $79,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,100.00 and $89,400.00 per year, depending on experience, location, and employer.

What is computer science education?

Computer science education refers to the teaching and learning of the principles, concepts, and applications of computer science. It includes topics such as programming, algorithms, data structures, computer systems, and computational thinking. Computer science education can take place at various levels, from elementary school to higher education and professional development. Its goal is to equip students with the skills needed to understand and create technology, solve complex problems, and participate in a digital society.

What are the key skills and qualifications needed to thrive in computer science education?

To thrive in Computer Science Education, you need a solid background in computer science concepts, curriculum development, and typically a degree in computer science or education. Familiarity with programming languages, learning management systems (LMS), and educational technology tools is often required. Strong communication, patience, and the ability to inspire and engage students are critical soft skills. These skills and qualities ensure effective teaching, foster student understanding, and help bridge the gap between complex technical concepts and learners.

What are some common challenges faced by computer science educators in keeping course content current?

Computer science educators often face the challenge of rapidly evolving technology, which makes it necessary to regularly update course materials to reflect new programming languages, frameworks, and industry practices. Balancing foundational concepts with emerging trends can be difficult, especially given limited classroom time. Additionally, educators must ensure that updates remain accessible to students with varying levels of experience, while also integrating practical, real-world projects to keep students engaged.

What is the difference between Computer Science Education vs Computer Science Teacher?

AspectComputer Science EducationComputer Science Teacher
Required CredentialsTypically requires a degree in computer science or education, often with certification in teachingRequires a degree in computer science or related field, plus teaching certification
Work EnvironmentEducational institutions, online platforms, training programsSchools, colleges, educational institutions
Employer & Industry UsageEducational organizations, edtech companies, training providersPrimary schools, high schools, colleges
Common Search & ComparisonFocuses on curriculum development, programming skills, and educational methodsFocuses on classroom teaching, lesson planning, and student assessment

Computer Science Education generally refers to designing and delivering computer science curricula, often involving curriculum development and educational strategies. In contrast, a Computer Science Teacher primarily focuses on instructing students in computer science concepts within a classroom setting. Both roles require similar credentials but differ in their scope and work environment.

What can I do with computer science education?

Computer science education prepares individuals for a variety of roles such as software developer, data analyst, cybersecurity specialist, and systems analyst. It provides skills in programming, algorithms, and problem-solving, which are applicable across many technology industries and often require proficiency in programming languages and tools like Python, Java, or SQL.

What is a computer science education degree?

A computer science education degree is an academic program that prepares individuals to teach computer science concepts and programming in schools or educational settings. It typically includes coursework in programming, algorithms, and pedagogy, and may lead to certification for teaching computer science at various grade levels.

What jobs will a computer science education degree get you?

A computer science education degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, or IT support specialist. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like programming languages and operating systems.

What are popular job titles related to Computer Science Education jobs in Miami, FL?

For Computer Science Education jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Computer Science Education jobs in Miami, FL look for?

The top searched job categories for Computer Science Education jobs in Miami, FL are:

What cities near Miami, FL are hiring for Computer Science Education jobs?

Cities near Miami, FL with the most Computer Science Education job openings:

Infographic showing various Computer Science Education job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,489 per year, or $38.2 per hour.

Junior/Middle Computer Vision Engineer ID72410

AgileEngine, LLC.

Fort Lauderdale, FL โ€ข On-site

$60 - $90/hr

Other

Posted 12 days ago


Job description

Full time | AgileEngine | United States

Posted On 08/20/2026

Job Information

City Fort Lauderdale

State/Province Florida

33301

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
  • Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
  • Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
  • Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
  • Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
  • Take ownership of foundational tasks that support the broader teamโ€™s AI/ML lifecycle, directly contributing to the speed and success of production deployments.
MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
  • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Foundational coding skills in Python;
  • Foundational understanding of machine learning concepts and workflows;
  • Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
  • Basic familiarity with cloud environments and compute resources;
  • A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
  • Excellent attention to detail, specifically regarding data quality and documentation;
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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