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Intern Ai Coding Trainer Jobs (NOW HIRING)

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Exposure to Microsoft Power Platform or low-code automation tools. About Black Box Black Box is a ...

Mercor

ML Engineer - AI Coding Expert

New York, NY · Remote

$85/hr

Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering ... Review model-generated implementations involving model training , inference systems , MLOps , and ...

Mercor

ML Engineer - AI Coding Expert

New York, NY · Remote

$85/hr

Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering ... Review model-generated implementations involving model training , inference systems , MLOps , and ...

Eulerity

Recruiting Intern - AI & Automation

New York, NY · On-site

$18 - $20/hr

You don't need to be a coder, but you are interested in software development and willing to learn ... AI startup. * Immediate Impact: The candidates you help move through the process and the feedback ...

SAP

SAP iXp Intern - AI Solution Advisory

Manhattan, NY · On-site

$16.50 - $22/hr

... coding academy/bootcamp, apprenticeship, associate, bachelor's, master's or JD/PhD program ... Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive ...

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Intern Ai Coding Trainer information

What is an Intern AI Coding Trainer?

Intern AI Coding Trainers are individuals, typically students or recent graduates, who assist in teaching and developing artificial intelligence (AI) and programming skills, often as part of an internship program. They may help design coding exercises, provide feedback to learners, and support classroom or online instruction. Their role often involves learning on the job while contributing to educational projects and gaining experience in both AI and teaching methodologies.

What are the key skills and qualifications needed to thrive as an Intern AI Coding Trainer?

To thrive as an Intern AI Coding Trainer, you need a solid understanding of programming languages (such as Python), foundational knowledge in machine learning concepts, and preferably progress toward a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong communication, patience, and the ability to explain complex technical concepts simply are crucial soft skills for this role. These skills ensure effective training delivery, foster learner engagement, and contribute to the successful development of AI skills in trainees.

How does an Intern AI Coding Trainer typically collaborate with senior engineers and learners during a project?

As an Intern AI Coding Trainer, you will often act as a bridge between senior engineers and learners by assisting with coding workshops, answering technical questions, and helping to create or refine training materials. You'll collaborate with senior engineers to understand project requirements and teaching strategies, while also providing learners with hands-on support and feedback. This role offers a dynamic environment where you can develop both your technical and communication skills, and gain valuable insight into AI project workflows.

What is the difference between Intern Ai Coding Trainer vs Intern Data Science Intern?

AspectIntern Ai Coding TrainerIntern Data Science Intern
Required CredentialsBasic programming knowledge, coursework in AI or codingBasic programming, statistics, or data analysis coursework
Work EnvironmentTech companies, educational platforms, AI startupsData-driven companies, research labs, tech firms
Employer & Industry UsageUsed in AI-focused roles, coding bootcamps, online educationCommon in data analysis, research projects, analytics teams

Intern Ai Coding Trainers typically focus on teaching and guiding students or junior developers in AI coding skills, often within educational or tech environments. Intern Data Science Interns work on data analysis, modeling, and research tasks. While both roles require programming knowledge, the AI Coding Trainer emphasizes teaching and training, whereas the Data Science Intern focuses on data-driven project work.

What cities are hiring for Intern Ai Coding Trainer jobs?

Cities with the most Intern Ai Coding Trainer job openings:

What are the most commonly searched types of Ai Coding Trainer jobs?

The most popular types of Ai Coding Trainer jobs are:

What states have the most Intern Ai Coding Trainer jobs?

States with the most job openings for Intern Ai Coding Trainer jobs include:

Intern Ai Coding Trainer jobs near you

AI Intern - Dallas, TX

Black Box

Plano, TX • On-site

Part-time

Re-posted 24 days ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2 years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).

Key Responsibilities AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.

Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.

Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.

Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.

Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).

Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.

Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.

Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.

About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks. Black Box is an equal opportunity employer.

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