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Remote Easiest Computer Science Jobs in Dallas, TX

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

HealthShare Engineer (Remote Opportunity)

Dallas, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical ... Remote Opportunity VetsEZ is an equal opportunity employer. Qualified applicants will receive ...

HealthShare Engineer (Remote Opportunity)

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical ... Remote Opportunity VetsEZ is an equal opportunity employer. Qualified applicants will receive ...

Principal Machine Learning Scientist

Dallas, TX · Remote

  • Medical

  • Life

  • Retirement

  • PTO

Master's Degree or higher in economics, artificial intelligence, data science, computer science ... Patents and publications in data science field a plus #LI-Remote Annual Pay Range: 134,400 - 190 ...

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Remote Easiest Computer Science information

What are the easiest remote computer science jobs?

Remote easiest computer science jobs are positions in the tech field that can be performed from anywhere and typically require less experience or specialized knowledge compared to more advanced roles. Examples include data entry, website testing, technical support, QA testing, or junior web development. These roles often involve basic programming, troubleshooting, or administrative IT tasks, making them accessible to beginners or those looking to enter the tech industry. Flexibility and the ability to work from home make these jobs appealing for many seeking work-life balance.

What are some common challenges faced when working remotely in entry-level computer science roles, and how can they be managed?

Remote entry-level computer science roles often require strong self-discipline and time management, as it can be easy to get distracted without in-person supervision. Clear communication is also essential, since collaborating with team members and managers happens mainly through digital channels. To manage these challenges, it helps to establish a structured daily routine, proactively seek feedback, and use collaboration tools like Slack or Jira to stay connected with your team. Participating in regular check-ins and asking questions can also support your growth and ensure you remain aligned with project goals.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science Professional, you need a solid understanding of programming languages, algorithms, and computer systems, often supported by a relevant degree or certifications. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for excelling in a remote environment. These skills and qualities ensure productivity, technical proficiency, and seamless teamwork despite physical distance.

What is the difference between Remote Easiest Computer Science vs Remote Web Developer?

AspectRemote Easiest Computer ScienceRemote Web Developer
Required CredentialsBasic programming knowledge, certifications optionalHTML, CSS, JavaScript skills, often certifications or courses
Work EnvironmentRemote, flexible hours, individual tasksRemote, collaborative, project-based
Industry UsageBroad tech industry, entry-level rolesWeb development agencies, startups, tech companies
Search & Comparison IntentLooking for easy entry-level tech jobsSeeking web development roles with manageable complexity

Remote Easiest Computer Science typically involves entry-level programming tasks with minimal certifications, suitable for beginners. Remote Web Developer roles focus on building websites using HTML, CSS, and JavaScript, often requiring specific skills but still accessible for newcomers. Both roles are remote and entry-level, but Web Developer positions are more specialized in web technologies, while Computer Science roles may cover broader programming tasks.

What kind of remote jobs can I get with a computer science degree?

Remote computer science jobs include roles such as software developer, web developer, data analyst, cybersecurity analyst, and systems administrator. These positions often require skills in programming languages, problem-solving, and familiarity with tools like Git, cloud platforms, or databases, and may involve flexible schedules and self-directed work environments.

What are the most commonly searched types of Easiest Computer Science jobs in Dallas, TX?

The most popular types of Easiest Computer Science jobs in Dallas, TX are:

What job categories do people searching Remote Easiest Computer Science jobs in Dallas, TX look for?

The top searched job categories for Remote Easiest Computer Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Easiest Computer Science jobs?

Cities near Dallas, TX with the most Remote Easiest Computer Science job openings:

Infographic showing various Remote Easiest Computer Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Fort Worth, TX • Remote

$50 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.