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Remote Ai Computer Science Jobs in Dallas, TX (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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micro1 AI

AI Trainer (Computer Vision) - Remote

Plano, TX · Remote

$13 - $15/hr

Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

micro1 AI

AI Trainer (Computer Vision) - Remote

Allen, TX · Remote

$13 - $15/hr

Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

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All JobsAi Computer Science JobsRemote Ai Computer Science JobsRemote Ai Computer Science Jobs in Dallas, TX

Remote Ai Computer Science information

See Dallas, TX salary details

$82.6K

$101.4K

$134K

How much do remote ai computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote ai computer science in Dallas, TX is $101,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $113,800.00 per year, depending on experience, location, and employer.

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a remote AI computer scientist?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI computer science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
What are the most commonly searched types of Ai Computer Science jobs in Dallas, TX? The most popular types of Ai Computer Science jobs in Dallas, TX are:
What are popular job titles related to Remote Ai Computer Science jobs in Dallas, TX? For Remote Ai Computer Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Ai Computer Science jobs in Dallas, TX look for? The top searched job categories for Remote Ai Computer Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Ai Computer Science jobs? Cities near Dallas, TX with the most Remote Ai Computer Science job openings:
Remote Ai Computer Science jobs near you
Infographic showing various Remote Ai Computer Science job openings in Dallas, TX as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $101,396 per year, or $48.7 per hour.

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Fort Worth, TX • Remote

$50 - $90/hr

Part-time

This job post has expired today. 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.

Apply