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Assistant Generative Ai Certification Jobs (NOW HIRING)

$32 - $40/hr

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

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 ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Experience delivering generative AI, LLM-based solutions, or RAG pipelines. Industry certifications (PMP, Scrum Master, Cloud Architect, AI certifications). Prior consulting experience with ...

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Assistant Generative Ai Certification information

Is Generative AI certification worth it?

Generative AI certification for roles like Assistant Generative AI Certification can validate skills in AI model development, data handling, and machine learning tools, potentially enhancing job prospects. It demonstrates technical competence and may lead to higher earning potential, but its value depends on industry demand and individual experience. Practical experience and continuous learning are also important for success in AI-related jobs.

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.

What are the key skills and qualifications needed to thrive as an Assistant in Generative AI Certification, and why are they important?

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 jobs can you get with a Generative AI certification?

A Generative AI certification can qualify you for roles such as AI/ML engineer, data scientist, NLP specialist, or AI developer, where skills in machine learning models, programming, and AI tools are essential. These positions often involve developing, deploying, and optimizing AI systems in various industries like technology, healthcare, and finance.

Which 3 jobs will survive AI?

Assistant Generative AI Certification prepares professionals to work alongside AI technologies, which are expected to augment roles rather than replace them. Jobs that require complex problem-solving, emotional intelligence, and creative thinking—such as healthcare providers, educators, and skilled tradespeople—are likely to persist despite AI advancements. Continuous learning and certification in AI tools can help these roles adapt to technological changes.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and specialized certifications. These positions usually involve leadership, strategic planning, and cutting-edge AI development in large organizations or tech companies.

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.
More about Assistant Generative Ai Certification jobs
What cities are hiring for Assistant Generative Ai Certification jobs? Cities with the most Assistant Generative Ai Certification job openings:
What are the most commonly searched types of Generative Ai Certification jobs? The most popular types of Generative Ai Certification jobs are:
What states have the most Assistant Generative Ai Certification jobs? States with the most job openings for Assistant Generative Ai Certification jobs include:
What job categories do people searching Assistant Generative Ai Certification jobs look for? The top searched job categories for Assistant Generative Ai Certification jobs are:
Infographic showing various Assistant Generative Ai Certification job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Intern - Generative AI/Agentic AI/Research

Intern - Generative AI/Agentic AI/Research

Cotiviti

$32 - $40/hr

Other

Posted yesterday


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

39th of 204 rated it services


Job description

Overview

This internship centers on researching and developing advanced healthcare informatics solutions with a specialization in Agentic AI-AI systems capable of autonomous reasoning, decision-making, and goal-directed behavior. The intern will explore applications of Agentic and Generative AI in  healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and collaborating on agentic AI projects, and work closely with cross-functional teams to drive innovative research and practical implementation in healthcare environments.

Responsibilities

Technical Expertise

  • Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
  • Assists in developing and improving LLMs and ML tools used across the organization.
  • Assists in establishing and maintaining an Artificial Intelligence Governance Program.
  • Gain hands-on experience in generative AI model development, architecture design, and database management.
  • Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making.
  • Assist in designing, developing, and testing autonomous AI agents and generative AI systems tailored for healthcare informatics.
  • Support efforts to establish and maintain an Artificial Intelligence Governance Program with a focus on agentic AI ethics and safety.

Communication & Collaboration

  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships

  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

  • Complete all responsibilities and goals outlined in the internship program.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science, AI, etc.) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 4/15/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/15/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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Employment Type: OTHER

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