ZipRecruiter

Log In

1

Internship Artificial Intelligence Trainer Jobs in Spring, TX

Sogeti

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

Artificial Intelligence touches every part of our work, giving you the opportunity to learn and ... A growth mindset demonstrated through your coursework, internships, side projects, leadership roles ...

Capgemini

Entry Level Technologist

Houston, TX · On-site

Artificial Intelligence touches every part of our work, giving you the opportunity to learn and ... A growth mindset demonstrated through your coursework, internships, side projects, leadership roles ...

Sogeti

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

Artificial Intelligence touches every part of our work, giving you the opportunity to learn and ... A growth mindset demonstrated through your coursework, internships, side projects, leadership roles ...

next page

Showing results 1-20

All JobsArtificial Intelligence Trainer JobsInternship Artificial Intelligence Trainer JobsInternship Artificial Intelligence Trainer Jobs in Spring, TX

Internship Artificial Intelligence Trainer information

What is the difference between Internship Artificial Intelligence Trainer vs Data Science Intern?

AspectInternship Artificial Intelligence TrainerData Science Intern
Required CredentialsBasic knowledge of AI, programming, and machine learning conceptsBackground in statistics, programming, and data analysis
Work EnvironmentHands-on training, project-based, often in tech companies or AI labsData analysis, model building, and research in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, and consulting firms
Search & Comparison IntentUnderstanding roles related to AI training internshipsComparing data-focused internship roles

Internship Artificial Intelligence Trainers focus on developing and training AI models, often requiring basic AI and programming skills. Data Science Interns work on analyzing data, building models, and deriving insights. While both roles involve data and programming, AI trainers specialize in AI model development, whereas data science interns focus on data analysis and interpretation.

What kind of projects and tasks can I expect to work on as an internship artificial intelligence trainer?

As an Internship Artificial Intelligence Trainer, you will typically work on projects involving data annotation, model evaluation, and dataset preparation to help train and improve AI systems. Your daily responsibilities may include labeling data, identifying and correcting model errors, and collaborating with data scientists and engineers to refine training processes. You'll likely work within a team environment that values detail-oriented work and clear communication. This hands-on experience provides valuable exposure to the practical aspects of AI development and can serve as a strong foundation for a future career in machine learning or data science.

What is an internship artificial intelligence trainer?

An Internship Artificial Intelligence Trainer is typically a temporary position where interns assist in teaching or training artificial intelligence (AI) models. This role often involves tasks such as labeling data, evaluating AI outputs, and refining training datasets to improve the performance of machine learning algorithms. Interns may also help develop training materials, conduct model testing, and collaborate with data scientists or AI engineers. The internship provides hands-on experience in the AI field, making it ideal for students or recent graduates interested in technology and machine learning.

What are the key skills and qualifications needed to thrive as an internship artificial intelligence trainer, and why are they important?

To thrive as an Internship Artificial Intelligence Trainer, you need foundational knowledge in machine learning, data analysis, and programming, typically supported by coursework or a degree in computer science or a related field. Familiarity with Python, machine learning frameworks like TensorFlow or PyTorch, and data annotation tools is typically required. Strong communication, attention to detail, and a collaborative mindset help you effectively train AI models and work with team members. These skills ensure that AI systems are trained accurately and efficiently, contributing to successful AI project outcomes.
What are the most commonly searched types of Artificial Intelligence Trainer jobs in Spring, TX? The most popular types of Artificial Intelligence Trainer jobs in Spring, TX are:
What job categories do people searching Internship Artificial Intelligence Trainer jobs in Spring, TX look for? The top searched job categories for Internship Artificial Intelligence Trainer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Internship Artificial Intelligence Trainer jobs? Cities near Spring, TX with the most Internship Artificial Intelligence Trainer job openings:
Internship Artificial Intelligence Trainer jobs near you

Senior Artificial Intelligence Engineer

Covestro AG

Baytown, TX • On-site

$95K - $130K/yr

Full-time

Posted 25 days ago

Job description

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place.
The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models and production-ready applications, ensuring scalability, reliability, and business value. Working closely with data science teams, the Senior AI Engineer transforms innovative concepts into robust, enterprise-grade AI systems that drive Covestro's digital transformation.
Major Tasks and Responsibilities
AI Solution Development & Integration
  • Engineer and deploy AI and machine learning models into production environments
  • Design and implement comprehensive MLOps and AIOps pipelines for model lifecycle management
  • Create monitoring systems to detect model drift and implement automated retraining mechanisms

Infrastructure & Architecture
  • Architect scalable AI solutions leveraging cloud and edge computing technologies
  • Develop and maintain microservice architectures supporting AI deployments
  • Implement data pipelines to support training and inference needs across diverse data types

Collaboration & Innovation
  • Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency
  • Work cross-functionally with business stakeholders to align AI solutions with business needs
  • Evaluate and incorporate emerging AI technologies to maintain competitive advantage

Business Impact
  • Drive business value by successfully integrating AI capabilities into Covestro's core processes
  • Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovation
  • Enable data-driven decision making by making AI accessible and reliable for business users

Basic Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field with 7+ years' experience; OR Master's degree in in Computer Science, Software Engineering, or related technical field with 5+ years experience; OR PhD with 3+ years experience
  • 3+ years of experience in AI/ML engineering, with demonstrated success in production AI systems
  • Experience with modern AI frameworks

Knowledge and Skills
  • Strong expertise in containerization and cloud platforms
  • Proficiency with data processing technologies) and database systems
  • Programming expertise in Python and familiarity with other languages
  • Strong problem-solving skills and ability to translate business requirements into technical solutions
  • Excellent communication skills with ability to explain complex technical concepts to diverse audiences
  • Adaptability to work in a fast-paced environment with evolving technologies and requirements
  • Willingness to travel occasionally for collaboration purposes

#LI-JV1
#LI-Hybrid
YOUR APPLICATION
Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!
Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.
Contact Us
Info-Hotline: +1 844-522-6775
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this site as a result of your disability. To make a request, please call (412) 413-2736.

Apply