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Assistant Generative Ai Certification Jobs (NOW HIRING)

Practical familiarity with generative AI platforms, custom assistants or GPTs, and common ... Relevant certifications in generative AI, cloud platforms, product management, program management ...

... * Assist in Solution Architecture:Support the GenAI Solution Architect in designing robust ... Ability to explain technical concepts clearly to diverse audiences Claude Certified Architect (CCA ...

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Roles and responsibilities for this position include: * Assist in the development and optimization of generative AI solutions using GPT-4, Claude, Gemini, and Azure OpenAI Service under the guidance ...

... * Assist in designing, developing, and testing autonomous AI agents and generative AI systems ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

... * Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust ... Ability to explain technical concepts clearly to diverse audiences Claude Certified Architect (CCA ...

... * Assist in Solution Architecture:Support the GenAI Solution Architect in designing robust ... Ability to explain technical concepts clearly to diverse audiences Claude Certified Architect (CCA ...

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Assistant Generative Ai Certification information

What is an assistant generative AI certification?

An Assistant Generative AI Certification is a credential that demonstrates foundational knowledge and skills in working with generative artificial intelligence tools and technologies. This certification is designed for individuals seeking to validate their understanding of basic AI concepts, prompt engineering, ethical considerations, and the practical applications of generative AI in various fields. Earning this certification can help entry-level professionals or students showcase their proficiency and readiness to assist in AI-related projects or roles. It typically covers topics such as language models, image generation, and responsible AI use.

What are the key skills and qualifications needed to thrive as an assistant generative AI certification?

To excel as an Assistant in Generative AI Certification, you need a solid understanding of AI concepts, machine learning fundamentals, and experience in educational support or certification processes, often backed by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, online learning platforms, and Learning Management Systems (LMS) is typically required. Strong communication, organizational skills, and attention to detail help you effectively support learners and facilitate smooth certification operations. These skills are crucial for ensuring accurate guidance, efficient program administration, and positive learner outcomes in a technical and evolving field.

What are some common challenges faced by an assistant generative AI certification professional, and how can they be addressed?

As an Assistant Generative AI Certification professional, you may encounter challenges such as staying updated with rapidly evolving AI technologies, interpreting complex certification standards, and effectively communicating technical requirements to learners. Addressing these challenges involves continuous learning, collaborating closely with AI engineers and educators, and utilizing up-to-date resources and training materials. Developing strong project management and communication skills will help you bridge gaps between technical teams and certification participants, ensuring a smooth certification process.

What is the difference between Assistant Generative Ai Certification vs Data Analyst Certification?

AspectAssistant Generative Ai CertificationData Analyst Certification
Required CredentialsRelevant AI and machine learning courses, certifications in generative AI toolsStatistics, data analysis, SQL, Excel certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed to validate skills in AI development and deploymentUsed to analyze data, generate reports, support decision-making

The Assistant Generative Ai Certification focuses on skills related to AI and generative models, often in tech-driven environments. In contrast, Data Analyst Certification emphasizes data analysis skills applicable across various industries. Both certifications validate technical expertise but serve different roles within organizations.

Is assistant generative AI certification worth it?

Assistant generative AI certification can enhance skills in AI tools and models, making candidates more competitive for roles involving AI development and deployment. It demonstrates knowledge of generative models like GPT and relevant programming skills, which are increasingly valued in AI-related jobs.

What jobs can you get with an Assistant Generative Ai Certification?

An Assistant Generative AI Certification can qualify individuals for roles such as AI content creator, machine learning assistant, data analyst, or AI support specialist. These roles often involve working with AI tools, natural language processing, and machine learning frameworks in technology or research environments.
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Infographic showing various Assistant Generative Ai Certification job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 17% Part Time, and 8% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Generative AI Implementation Intern

Interdigital

Conshohocken, PA โ€ข On-site

$14.75 - $19.75/hr

Full-time

Re-posted 20 days ago


Job description

About InterDigital

InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence ("AI"), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.

InterDigital is a registered trademark of InterDigital, Inc.

For more information, visit:www.interdigital.com.

About the Team

The AI Resource Group is building practical generative AI solutions that help product and business teams work smarter. We partner with employees across the company to turn everyday challenges into AI-powered workflows-focusing on adoption, enablement, and measurable impact.

Role Summary

As a Generative AI Implementation Intern,you'llwork directly with employees to teach prompt engineering and AI best practices,identifyhigh-impact use cases, and build production-ready automations that improve team efficiency. This is a collaborative, customer-facing role:you'llcoach users, prototype solutions, document patterns, and lead knowledge-sharing activities so the organization can adopt AI responsibly and at scale.You'll report to a senior member of the AI Resource Group who will serve as your mentor throughout the internship.

What You'll Do

  • Coach and enable:Deliver 1:1 sessions and workshops on prompt design, LLM workflows, and generative AI best practices for technical and non-technical audiences.

  • Discover opportunities:Facilitateuse-case discovery with business and engineering teams toidentifywhere AI can increase productivity or improve outcomes.

  • Build and ship:Design, prototype, and deploy custom GPTs, assistants, and lightweight automations that solve real user problems.

  • Create reusable resources:Develop a curated prompt library, templates, playbooks, and demo videos that propagate best practices across the organization.

  • Measure and improve:Implement evaluation checks for outputs (accuracy, relevance, hallucination mitigation) and track metrics on usage and efficiency gains.

  • Collaborate on governance:Work with engineering and security teams to ensure all prototypes follow data governance, privacy, andresponsible-AIpolicies.

What You'll Gain

  • Hands-on experience deploying AI solutions in a real enterprise environment

  • A portfolio of shipped projects you can point to in future interviews

  • Exposure to cross-functional work with engineering, product, legal, and business teams

  • Mentorship from experienced AI practitioners

  • Insight into responsible AI practices and enterprise governance

Minimum Qualifications

  • Currently enrolled in a Bachelor's orMaster'sprogram in Computer Science, Data Science, AI/ML, Human-Computer Interaction, Information Systems, or a related field

  • Hands-on experience with LLMs, generative AI workflows, and prompt engineering

  • Excellent communication skills-able to translate technical concepts into clear, actionable guidance for non-technical users

  • Strong facilitation and interpersonal skills; comfortable presenting to groups

  • FamiliaritywithPython and experience calling language model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)

  • Comfortable building quick prototypes (Jupyter/Colab, scripts, small web UIs) with familiarity in Git and basic software development practices

  • Able to work on-site in Conshohocken, PA for the duration of the internship

  • Authorized to work in the United States

Preferred Qualifications

  • Experience building chatbots, assistants, or integrations (e.g., Slack bots, Teams bots, small web apps)

  • Knowledge of LLM evaluation metrics, hallucination mitigation strategies, and prompt-based safety/guardrails

  • Coursework or practical experience in AI ethics, responsible AI, or data governance

Location: Conshohocken, PA - On-site

InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person's sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.