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Ai Engineer Remote Internship Jobs in Texas (NOW HIRING)

YO AI Labs

Backend Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Backend Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Backend Engineer - Remote

Houston, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... engineering standards. Keep updated with advances in AI technology and find opportunities to ...

Booz Allen Hamilton, Inc.

AI Engineer

San Antonio, TX · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246114 Location: San Antonio,TX,US Share job via: Share AI Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into existing software ...

YO AI Labs

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

YO AI Labs

RL Environment Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

RL Environment Engineer - Remote

Houston, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

YO AI Labs

RL Environment Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

DevOps Engineer - Remote

Dallas, TX · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... No prior AI experience is required--your DevOps expertise and engineering judgment are what matter ...

YO AI Labs

DevOps Engineer - Remote

Austin, TX · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... No prior AI experience is required--your DevOps expertise and engineering judgment are what matter ...

YO AI Labs

Machine Learning Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Machine Learning Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

CUDA Software Engineer - Remote

Dallas, TX · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

YO AI Labs

DevOps Engineer - Remote

Houston, TX · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... No prior AI experience is required--your DevOps expertise and engineering judgment are what matter ...

YO AI Labs

CUDA Software Engineer - Remote

Houston, TX · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

YO AI Labs

CUDA Software Engineer - Remote

Austin, TX · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

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Ai Engineer Remote Internship information

What is an AI Engineer remote internship?

An AI Engineer Remote Internship is a temporary, often entry-level position that allows students or recent graduates to gain practical experience working with artificial intelligence technologies while working remotely. Interns typically assist in developing, testing, and deploying machine learning models, as well as collaborating with teams on data analysis and AI-based solutions. Remote internships provide flexibility, allowing interns to work from any location while still gaining valuable industry experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an AI Engineer remote intern?

To thrive as an AI Engineer Remote Intern, you need a solid foundation in computer science, machine learning principles, and programming languages like Python, often demonstrated through relevant coursework or projects. Familiarity with tools such as TensorFlow, PyTorch, version control systems (e.g., Git), and cloud platforms like AWS or Google Cloud is typically expected. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These abilities enable interns to contribute meaningfully to AI projects, learn quickly, and collaborate efficiently despite the challenges of remote work.

How does an AI Engineer remote internship typically structure mentorship and collaboration given the virtual work environment?

Remote AI Engineer internships often use a combination of regular video check-ins, code reviews, and collaborative tools like GitHub and Slack to facilitate mentorship and teamwork. Interns are usually paired with a dedicated mentor or participate in a small project team, ensuring ongoing support and feedback despite the physical distance. Effective communication and proactive engagement are crucial, as interns may need to reach out regularly for guidance and share progress updates. This structure helps interns gain hands-on experience, develop problem-solving skills, and build professional relationships in a remote setting.

What are popular job titles related to Ai Engineer Remote Internship jobs in Texas?

For Ai Engineer Remote Internship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Remote Internship jobs in Texas look for?

The top searched job categories for Ai Engineer Remote Internship jobs in Texas are:

What cities in Texas are hiring for Ai Engineer Remote Internship jobs?

Cities in Texas with the most Ai Engineer Remote Internship job openings:

Ai Engineer Remote Internship jobs near you

Backend Engineer - Remote

YO AI Labs

Austin, TX • Remote

$80 - $120/hr

Full-time

Posted 12 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.