1

Generative Ai Certification Jobs (NOW HIRING)

$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 ...

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

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 ...

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

LLM & Generative AI Development * Agent-Based Systems * Retrieval-Augmented Systems (RAG ... certifications are good to have)

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

next page

Showing results 1-20

Generative Ai Certification information

See salary details

$11

$20

$33

How much do generative ai certification jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for generative ai certification in the United States is $20.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $26.68 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists with extensive experience and specialized skills. These positions often require advanced certifications, deep knowledge of machine learning frameworks, and leadership responsibilities, and they are usually found in large tech companies or organizations investing heavily in AI development.

Can you get a job with generative AI?

Yes, roles involving generative AI are available in fields such as AI development, data science, and machine learning engineering. These jobs typically require skills in programming, understanding of AI models, and often a relevant certification or degree. Having experience with tools like Python, TensorFlow, or PyTorch can improve job prospects in this area.

What is the difference between Generative Ai Certification vs Data Scientist?

AspectGenerative Ai CertificationData Scientist
Required credentialsCertification programs, online coursesDegree in data science, statistics, or related fields
Work environmentTraining, project-based, AI-focused teamsResearch, analysis, data modeling in various industries
Employer usageTech companies, AI startups, training providersTech firms, finance, healthcare, consulting
Search intentLearning AI generative models, certification programsAnalyzing data, building models, insights

Generative Ai Certification focuses on training individuals in AI generative models through courses and certifications, often for skill validation. Data Scientists typically hold degrees and perform data analysis, modeling, and insights across industries. While both roles involve AI and data, certifications are more about skill validation, whereas data scientists are involved in comprehensive data analysis and modeling tasks.

Is generative AI certification worth it?

Generative AI certification can enhance a job seeker's credentials by validating skills in AI models, machine learning, and related tools. It can improve employability in roles such as AI developer, data scientist, or machine learning engineer, especially when combined with practical experience and knowledge of programming languages like Python. However, its value depends on industry demand and the relevance of the certification to specific job requirements.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI researcher. These positions involve developing, training, and deploying AI models, often requiring knowledge of programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch.

What is a Generative AI Certification?

A Generative AI Certification is a credential that demonstrates your knowledge and skills in developing, deploying, and understanding generative artificial intelligence models, such as those used for creating text, images, audio, or video. These certifications typically cover foundational AI concepts, deep learning, neural networks, and hands-on experience with tools like GPT, DALL-E, or similar models. Earning a certification can enhance your credibility and job prospects in AI-related fields, proving your ability to work with cutting-edge generative technologies.

What are some common challenges professionals face when applying generative AI techniques in real-world projects?

Professionals working with generative AI often encounter challenges such as ensuring data quality, managing computational resource demands, and aligning model outputs with business objectives. Successfully deploying generative models requires close collaboration with data engineers, domain experts, and stakeholders to address ethical considerations and ensure outputs are both accurate and useful. Additionally, adapting quickly to the fast-evolving landscape of generative AI tools and frameworks is crucial for staying effective and competitive in the field.

What are the key skills and qualifications needed to thrive as a Generative AI Specialist, and why are they important?

To thrive as a Generative AI Specialist, you need a solid background in computer science, machine learning, and deep learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in tools like TensorFlow, PyTorch, and experience with generative models such as GANs or transformers, as well as certifications in AI, are typically required. Strong problem-solving, creativity, and effective communication skills help distinguish top performers in this field. These skills are essential for developing innovative AI solutions, collaborating with cross-functional teams, and addressing complex challenges in generative AI applications.
More about Generative Ai Certification jobs
What cities are hiring for Generative Ai Certification jobs? Cities with the most 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 Generative Ai Certification jobs? States with the most job openings for Generative Ai Certification jobs include:
Infographic showing various Generative Ai Certification job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,965 per year, or $20.7 per hour.
Specialist, Multimedia & Generative AI Production

Specialist, Multimedia & Generative AI Production

Society for Human Resource Management (SHRM)

Alexandria, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago


Job description

SHRM is a member-driven catalyst for creating better workplaces where people and businesses thrive together. As the trusted authority on all things work, SHRM is the foremost expert, researcher, advocate, and thought leader on issues and innovations impacting today's evolving workplaces. With nearly 340,000 members in 180 countries, SHRM touches the lives of more than 362 million workers and their families globally.
Summary
The Specialist is a key member of the SHRM Multimedia team, responsible for the creation, execution, and delivery of engaging video and audio content. Leveraging both traditional and Generative AI methods, this role drives original storytelling, live-streaming, on-site production, and event support. The position primarily engages in thoughtful pre-production recommendations, executes on project delivery while incorporating feedback and supports multimedia efforts with broader organizational objectives, positioning SHRM as a thought leader..
Responsibilities
Multimedia Content Creation
  • Develop, script, and produce high-quality multimedia content (audio/video/still photography) for internal communications, marketing, product launches, recruiting, training, webinars, and enterprise-wide initiatives.
  • Manage all aspects of production: storyboarding, editing, graphics integration, titling, music/voice-over, sound effects, and media archiving.

Generative AI Integration
  • Use Generative AI platforms for video and animation production for full video production or to use as elements within the traditional production process.
  • Support and answer questions from content production team members on GenAI tools and workflows.
  • Monitor emerging digital and AI technologies, proactively sharing relevant tools and practices with the Multimedia team.
  • Utilize AI to enhance workflows and train on latest production innovations to develop editing abilities.

Project & Stakeholder Management
  • Collaborate with internal stakeholders and other Multimedia team members to coordinate project intake, requirements gathering, and deliverables.
  • Review assigned multimedia requests and project details via Monday.com, ensuring all information is complete for efficient assignment and execution.
  • Connect daily project work to team objectives and suggest process enhancements to improve efficiency and quality.

Live Event Production
  • Set up, operate, and troubleshoot audiovisual equipment for live and on-demand streaming events, both onsite and in studio.
  • Oversee technical arrangements, conduct tests, coordinate teleconferences, and ensure seamless event execution.

Team Operations Support
  • Support on the management and organization of video libraries in Vimeo.
  • Assist in overseeing equipment storage, testing, and maintenance.
  • Help update production guidelines and workflows to grow audience engagement and response.

Education & Experience Requirements
Education:
  • Bachelor's degree in communications, marketing or related field. Experience in lieu of a degree may be considered.

Experience:
  • Minimum 3 years progressive editing and production experience, utilizing branding and strategy in execution.
  • Experience in Generative AI platforms for video production.
  • Demonstrated ability to deliver multimedia projects from concept to completion, including live production.

Knowledge, Skills & Abilities
• Proficiency in digital cinema, DSLR and other camera operations, lighting, audio engineering (studio/field), and chroma keying.
• Advanced skills in Adobe Premiere, After Effects, Photoshop, Illustrator.
• Experience with digital content management and video platforms (Riverside, Vimeo, DropBox).
• Strong understanding of live production workflows: video codecs, streaming bandwidths, encoding, graphics integration, live switching.
• Experience using Generative AI tools (OpenArt/Sora, Eleven Labs, Firefly, Descript, Veo, Canva, ChatGPT, Claude, Gemini).
• Skilled in Microsoft Office and project management tools (Monday.com, Jira).
• Explore industry trends and translate them into actionable recommendations.
• Creative, collaborative, and effective communicator across all organizational levels.
• Thrives in dynamic, high-volume environments; adept at managing multiple priorities and responding professionally to feedback.
• Self-motivated, proactive, and accountable for outcomes.
Certifications
  • N/A

Physical Requirements
This position operates in a typical office environment and requires the ability to perform essential job functions with or without reasonable accommodation. Physical requirements may include:
  • Prolonged periods of sitting at a desk and working on a computer.
  • Frequent use of hands and fingers for typing, handling documents, and using office equipment.
  • Occasional standing, walking, bending, and reaching.
  • Ability to lift and carry up to 30 pounds as needed.
  • Clear verbal and written communication skills for effective interaction with colleagues and stakeholders.

Work Environment
Hybrid Position (3 Days In-Office, 2 Days Remote):
  • This position follows a hybrid work schedule, with Tuesday through Thursday in office and Monday and Friday remote. Employees must be available during standard business hours, with core hours beginning between 8:00AM - 9:00AM and concluding between 5:00PM - 6:00PM.

Travel: 20% - 35% to SHRM events/conferences throughout the year, typically 3-5 nights per trip.
#LI
The hiring range for this position is $70,000 to $85,000 per year. This range is an estimate, and the actual salary may vary based on the candidate's experience, skills, and qualifications. SHRM offers a competitive and comprehensive total rewards package. The benefits for this position include professional growth and development, health, dental, vision, well-being, health savings, flexible spending, retirement, open leave, and annual discretionary bonus and incentives.
Our employment practices are in accordance with the laws that prohibit discrimination against qualified individuals on the basis of race, religion, color, gender, age, national origin, physical or mental disability, genetic information, veteran's status, marital status, gender identity and expression, sexual orientation, or any other status protected by applicable law.
SHRM is an equal opportunity employer (Minority/Female/Disabled/Veteran).
We do not sponsor applicants for work visas.