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Remote Computer Science Jobs in Taylor, TX (NOW HIRING)

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Bachelor's degree in Computer Science, Data Science, or a related field-or equivalent demonstrated ...

Test Automation Engineer (Remote Opportunity)

Austin, TX · Remote

$45.50 - $60.25/hr

Bachelor's in Computer Science, Electronics Engineering, or related technical discipline; minimum ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...

Scrum Master (Remote Opportunity)

Austin, TX · Remote

$51 - $68.25/hr

Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or a related ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

Scrum Master (Remote Opportunity)

Austin, TX · On-site +1

$51 - $68.25/hr

Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or a related ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

Test Automation Engineer (Remote Opportunity)

Austin, TX · On-site +1

$45.50 - $60.25/hr

Bachelor's in Computer Science, Electronics Engineering, or related technical discipline; minimum ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...

Remote Sr. Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Remote Sr. Data Engineer Senior Data Engineer Position Overview We are seeking a highly skilled ... Bachelor's degree in Computer Science, Engineering, or a related field. * 6+ years of experience in ...

Sr. Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

... remote teams. Support production issue resolutions per need. Participate in the development ... Bachelor's degree or foreign equivalent in Computer Science, Information Technology, Computer ...

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Remote Computer Science information

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

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

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong communication skills, proficiency with collaboration tools, and sometimes specific certifications or experience with remote work environments.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

What jobs pay $10,000 a month without a degree?

Remote computer science roles such as software developers, web developers, and cybersecurity specialists can earn $10,000 or more per month without a formal degree, often relying on strong coding skills, certifications, and experience. Freelance work, consulting, and project-based contracts in tech fields also offer high earning potential without traditional degrees.

How can I make $100,000 a year working from home?

Remote computer science professionals can reach a $100,000 annual income by gaining specialized skills in areas like software development, data science, or cybersecurity, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working for high-paying companies or freelancing can also increase earning potential while working remotely.

How to make $1000 a week remote?

Remote computer science professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building in-demand skills such as programming, software development, or data analysis, and using platforms like Upwork or Freelancer, can help achieve this income level. Consistent work, strong skills, and a reliable client base are key factors.
What cities near Taylor, TX are hiring for Remote Computer Science jobs? Cities near Taylor, TX with the most Remote Computer Science job openings:
Infographic showing various Remote Computer Science job openings in Taylor, TX as of June 2026, with employment types broken down into 2% Internship, 75% Full Time, 12% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.
AI Engineer (Remote)

AI Engineer (Remote)

continued

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Location: Remote
Virtual, work-from-home position. Work anywhere in the US, must live in the US
ABOUT CONTINUED
A leader in EdTech, Continued is a team of passionate individuals dedicated to empowering professionals and enhancing careers. We are fast-paced, nimble, and we laugh a lot. We are proud to be certified as a great workplace, ranked #35 in Fortune's 2025 Best Medium Workplaces, ranked #18 in Fortune's 2025 top 25 Small & Medium Workplaces for Women, and ranked #74 in Fortune's 2024 Best Small & Medium Workplaces for Millennials by the independent analysts at Great Place to Work®. We are 100% virtual, scattered across the country, but we maintain a tight-knit culture driven by curiosity, a love of learning, and a desire to solve complex problems. Learn more about us at continued.com and parent company lacallegroup.com.
THE MISSION
We are seeking an experienced AI Engineer who is motivated, creative, and personable to join our dynamic team. This role requires a strong combination of technical expertise-particularly in software and AI-and real-world experience in building and deploying AI-powered systems. The ideal candidate will be focused on ensuring that technical AI solutions solve real-world problems and deliver measurable business outcomes. The AI Engineer will be responsible for moving models out of a notebook environment and integrating them into a live, scalable, and monitored system.
The AI Engineer will collaborate closely with other engineers and the broader DAIA team to operationalize machine learning and generative AI models at enterprise scale. This role will also help define best practices and guidelines for engineering teams.
WHAT YOU'LL DO (The Impact)
  • AI & Automation Discovery: Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
  • Build & Ship: Design, develop, and support AI & automation systems that drive measurable business outcomes-from initial scoping to production deployment.
  • Platform Engineering: Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
  • Data Pipelines & Model Integration: Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search.
  • Reliability & Security: Ensure the high availability, performance, and security of AI platform services.
  • Extensibility: Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation.
  • Communication & Alignment: Translate complex AI concepts for non-technical stakeholders and keep business goals front and center.
  • Stay Sharp: Keep pace with rapidly evolving AI models, frameworks, and research-and bring that knowledge back to the team.

WHO YOU ARE
  • Education: Bachelor's degree in Computer Science, Data Science, or a related field-or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice.
  • Experience: Minimum of 3-5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems.
  • Technical Skills:
    • Builder & Deployer: You don't just prototype-you ship. You have proven experience moving AI models out of notebooks and into live, scalable, monitored production systems.
    • AI & ML Practitioner: You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search-and know how to apply them to real business problems.
    • Pipeline Pro: You have strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on.
    • Software Craftsperson: You write production-ready code. OOP, clean architecture, testable systems-these aren't buzzwords to you, they're defaults.
    • Automation Native: You've worked with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom.
    • Strategic & Systems Thinker: You connect technical decisions to business outcomes. You can hold the big picture and the implementation detail at the same time.
    • Communicator: You're as comfortable in a stakeholder meeting as you are in a code review.
    • Ethics-First: You believe in responsible, transparent AI practices and bring that lens to everything you build.
    • Culture Fit: You thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting.
  • Preferred by Not Required:
    • Full-Stack Fluency: You've built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends-and you're comfortable managing data with Postgres or Redis.
    • Quantitative Thinker: You have a solid grounding in statistics, probability, and experimental design. You know how to evaluate model performance rigorously, design meaningful tests, and distinguish signal from noise.

ADDITIONAL REQUIREMENTS
  • Can work a full-time W2 position on core U.S. business hours in your time zone.
  • Ability to fulfill the job requirements with or without reasonable accommodations.
  • Must be located in the United States and be legally eligible to work for us without sponsorship.
  • Travel is required for an all-company meeting, and may be required once or twice per year for team or project meetings.
  • Occasional after-hours/on-call for emergency support and special events (generally less than four times per year).

We prefer an excited candidate with a great attitude and less experience to an unmotivated or unengaged candidate with tons of experience.
WHY JOIN US?
  • Work from home with a company-provided MacBook and internet stipend.
  • 21 days of flexible PTO + your birthday + holidays (with flexible substitution).
  • Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more.
  • 401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.

TO APPLY
To apply, please submit a cover letter with your application. In your cover letter, we'd love to hear about: 1) why you would make a great addition to our team, and 2) about a book you've read or video you've watched from which you learned something new or interesting.
By submitting your application, you acknowledge that we collect and process your personal information as described in our Applicant Privacy Notice. Please review the Notice before applying.