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Generative Ai Certification Jobs (NOW HIRING)

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

Generative AI Specialist / AI & ML Developer Location: Remote About the Role * Peraton is seeking ... Relevant cloud/AI certifications (AWS, Azure, Google, DeepLearning.AI). Key Technologies ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI ... Certifications in Azure or AI-related fields. * Experience with large language models (LLMs) and ...

IPolarity LLC

Generative AI Engineer

Whippany, NJ · On-site

$70/hr

Generative AI / LLMs * OpenAI / Azure OpenAI * Google AI Stack (Gemini, Vertex AI) * AI Agents ... AI Black Belt certification/expertise * Firewall, Data Center, and Spine-Leaf Architecture ...

Hearst

Senior Engineer, Generative AI

New York, NY

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... certifications, and education. Hearst provides a competitive benefits package, including medical ...

Cotiviti

$32 - $40/hr

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Cotiviti

$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 ...

Cotiviti

Intern - Generative AI Research Engineer

$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 ...

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Generative Ai Certification information

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How much do generative ai certification jobs pay per hour?

As of Jul 27, 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
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Generative Ai Certification jobs near you
Infographic showing various Generative Ai Certification job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $42,965 per year, or $20.7 per hour.
Senior AI Solutions Lead (Automotive / Retail)

Senior AI Solutions Lead (Automotive / Retail)

Cogent IBS, Inc

Detroit, MI • On-site

Other

Posted 3 days ago

Job description

****Locals Preferred****
Experience
5 10 years of experience in Data Analytics, Digital Transformation, AI, Machine Learning, or Advanced Analytics.
2 3 years of hands-on experience delivering AI or Generative AI use cases with measurable business results.
Industry experience in Automotive, Retail, Aftermarket Parts & Service, Supply Chain & Logistics, or E-commerce.

AI Certifications (Required)
One or more of the following:
One or more recognized AI certifications, such as Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, Databricks Machine Learning Certification, Microsoft Applied AI, or equivalent Generative AI certification.
Preferred Qualifications
Experience with Automotive Service Parts, Dealer Operations, Customer Experience, Retail Analytics, Supply Chain, or Manufacturing.
Experience implementing predictive analytics, recommendation engines, demand forecasting, digital assistants/chatbots, Generative AI, knowledge management, or agentic AI workflows.
Experience presenting AI business cases to executive leadership and working with enterprise AI platforms such as Microsoft Copilot, Azure OpenAI, Snowflake AI, or Databricks.
Master's degree preferred (MBA, MS, Data Science, AI, Machine Learning, or equivalent).

Apply