ZipRecruiter

Log In

2

Hourly Remote Robotics Engineer Jobs in Texas (NOW HIRING)

Neuralink

Software Engineer, CI/CD

Austin, TX · Remote

... Surgical Robot, BCI App, Clinical, Full-stack services and infrastructure * Own the software ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...

Avride

Software Research Engineer (ML)

Austin, TX · On-site +1

$203K/yr

... robots. We're shaping the future of transportation and logistics--and our Labeling Team plays a ... The employer is not offering relocation sponsorship, and remote work options are not available.

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

Careers

Sr. Electrical Engineer

San Antonio, TX · On-site +1

$97K - $126K/yr

S. Special Operations veterans, engineers, robotics perception experts, DevSecOps, defense ... This role is flexible and can be hybrid, onsite in San Antonio, or remote, depending on the ...

United Airlines

Functional Safety Engineer III

Dallas, TX · On-site +1

$82K - $164K/yr

Remote About the job you're considering: We are seeking a Senior Functional Safety Engineer to ensure the safety, reliability, and compliance of our autonomous robotic vehicles. This role is ...

Kforce Technology Staffing

Remote AWS Engineer

Austin, TX · On-site +1

$55.25 - $73.75/hr

Kforce's client is seeking a Remote AWS Engineer to lead the next phase of our cloud infrastructure ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

New

next page

Showing results 1-20

All JobsHourly Remote Robotics Engineer JobsHourly Remote Robotics Engineer Jobs in Texas

Hourly Remote Robotics Engineer information

What is the difference between Hourly Remote Robotics Engineer vs Hourly Remote Mechanical Engineer?

AspectHourly Remote Robotics EngineerHourly Remote Mechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in robotics or automationBachelor's in Mechanical Engineering; certifications in CAD, design, or manufacturing
Work EnvironmentRemote, project-based, collaborative with software and hardware teamsRemote or on-site, focused on design, analysis, and testing of mechanical systems
Industry UsageRobotics companies, automation firms, research labsManufacturing, product design, engineering consulting

Hourly Remote Robotics Engineers focus on designing and developing robotic systems, often combining hardware and software skills. Mechanical Engineers work on mechanical design, analysis, and testing, primarily in manufacturing or product development. Both roles may work remotely and require engineering credentials, but their core responsibilities and industry applications differ.

What are the most commonly searched types of Remote Robotics Engineer jobs in Texas? The most popular types of Remote Robotics Engineer jobs in Texas are:
Hourly Remote Robotics Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Dallas, TX • Remote

Other

Posted 25 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply