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Remote Computer Science Cyber Security Jobs in Kansas

Epiq

Lead Developer

Overland Park, KS · Remote

$125K - $155K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Preferred ... equipment. #LI-Remote #LI-RC1 The Compensation range for this role is $125,000 - $155,000 USD ...

Epiq

Lead Developer

Kansas City, KS · Remote

$125K - $155K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Preferred ... equipment. #LI-Remote #LI-RC1 The Compensation range for this role is $125,000 - $155,000 USD ...

DataAnnotation

Quantitative AI Trainer

Topeka, KS · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

Ascend Learning

Senior Security Engineer

Leawood, KS · On-site +1

$111.40K - $152.70K/yr

Bachelor's degree in Information Systems, Computer Science, or a related field or equivalent ... cybersecurity, network security, and/or infrastructure engineering. * Incident Handler-focused ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

... computer science or computer information systems. Applicants with a minimum of 5-10 years of ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

DataAnnotation

Physicist - AI Trainer

Topeka, KS · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

DataAnnotation

Analytics Engineer - AI Trainer

Topeka, KS · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

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Remote Computer Science Cyber Security information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Cyber Security professional, and why are they important?

To thrive as a Remote Computer Science Cyber Security professional, you need a solid background in computer science, network security principles, and threat analysis, usually supported by a relevant degree and industry certifications like CISSP or CEH. Familiarity with security tools such as firewalls, intrusion detection systems, and security information and event management (SIEM) platforms is typically required. Strong problem-solving, attention to detail, and effective communication are essential soft skills for remote collaboration and incident response. These skills and qualities are crucial to proactively protect digital assets, respond to evolving cyber threats, and ensure organizational security in a remote work environment.

How does a remote cyber security professional typically collaborate with other team members and departments?

Remote cyber security professionals often collaborate with cross-functional teams through virtual communication tools such as video conferences, instant messaging, and project management platforms. They regularly coordinate with IT, development, and compliance teams to identify vulnerabilities, implement security protocols, and respond to incidents. Clear documentation and proactive communication are essential in this remote environment to ensure everyone stays aligned on security priorities. Building strong relationships remotely can be a challenge, but regular check-ins and collaborative problem-solving help foster effective teamwork.

What are remote computer science cyber security jobs?

Remote computer science cyber security jobs involve protecting computer systems, networks, and data from cyber threats while working from a location outside of a traditional office, such as from home. These roles can include positions like security analyst, penetration tester, security engineer, or incident responder. Professionals in these positions use their knowledge of computer science and security protocols to detect, prevent, and respond to cyber attacks. Remote work in this field often requires strong communication skills, self-discipline, and reliable internet access. The demand for remote cyber security professionals has grown with the increase in digital threats and the expansion of remote work environments.

What is the difference between Remote Computer Science Cyber Security vs Remote Network Security Specialist?

AspectRemote Computer Science Cyber SecurityRemote Network Security Specialist
CredentialsCertifications like CISSP, CompTIA Security+Certifications like Cisco CCNA Security, CompTIA Security+
Work EnvironmentDeveloping security protocols, analyzing threats, coding security solutionsMonitoring network traffic, configuring firewalls, securing network infrastructure
Industry UsageTech companies, finance, healthcare, governmentTelecommunications, enterprise networks, data centers
Search & Comparison IntentUnderstanding roles, skills, and remote opportunities in cybersecurityFocusing on network-specific security roles and remote work options

Remote Computer Science Cyber Security involves protecting systems through software, threat analysis, and coding, while Remote Network Security Specialist focuses on securing network infrastructure and traffic. Both roles require similar certifications and often operate in overlapping industries, but they emphasize different technical skills and daily tasks.

What are popular job titles related to Remote Computer Science Cyber Security jobs in Kansas? For Remote Computer Science Cyber Security jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Cyber Security jobs in Kansas look for? The top searched job categories for Remote Computer Science Cyber Security jobs in Kansas are:
What cities in Kansas are hiring for Remote Computer Science Cyber Security jobs? Cities in Kansas with the most Remote Computer Science Cyber Security job openings:
Remote Computer Science Cyber Security jobs near you
Staff Data Scientist - AI Trainer

Staff Data Scientist - AI Trainer

DataAnnotation

Topeka, KS • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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