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Temp Generative Ai Certification Jobs (NOW HIRING)

OVA.Work is seeking a Generative AI Developer to design, develop, and deploy AI-powered ... or AI certifications. Company : OVA is the most advanced Automated, Intelligent, intuitive ...

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 ...

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 ...

Senior Engineer, Generative AI

New York, NY · On-site

$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 ...

AI Architect Agentic Generative AI

Dallas, TX · On-site

$62.50 - $82.50/hr

Oppurtunity for Advancement Long Term Competitive salary AI Architect Agentic & Generative AI Work ... AWS Certifications - Solutions Architect (Professional) or Machine Learning Specialty.

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 ...

$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 ...

AWS Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Hands-on experience with AI/ML, Generative AI, LLMs, NLP, and chatbot solutions * Experience with ... AWS Certified Solutions Architect (Required) * Additional AWS, Azure, or Google Cloud Platform ...

Oppurtunity for Advancement * Long Term * Competitive salary AI Architect Agentic & Generative AI ... AWS Certifications - Solutions Architect (Professional) or Machine Learning Specialty. Compensation ...

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Temp Generative Ai Certification information

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How much do temp generative ai certification jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for temp generative ai certification in the United States is $41.52, according to ZipRecruiter salary data. Most workers in this role earn between $31.97 and $49.04 per hour, depending on experience, location, and employer.

Is generative AI certification worth it?

Generative AI certification for roles like Temp Generative AI Certification can validate skills in AI model development, data handling, and machine learning tools, which are valuable in the tech industry. It can enhance job prospects and demonstrate expertise, especially as demand for AI skills grows, but its value depends on industry recognition and individual career goals.

Can you get a job with just an AI certificate?

A Temp Generative AI Certification can help demonstrate foundational knowledge in AI and machine learning, which may improve your chances of securing entry-level roles or internships. However, most employers also value practical experience, programming skills, and a strong understanding of AI tools and frameworks beyond the certificate alone.

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

AspectTemp Generative Ai CertificationData Scientist
Required CredentialsCertification in Generative AI tools and techniquesDegree in Data Science, Computer Science, or related field
Work EnvironmentProject-based, often in AI or tech companiesResearch, analysis, and modeling in various industries
Employer & Industry UsageTech firms, startups, AI-focused companiesFinance, healthcare, tech, and more

The Temp Generative Ai Certification focuses on practical skills in generative AI tools, suitable for roles requiring specific AI project expertise. Data Scientists typically have broader analytical and statistical skills, often with advanced degrees, working across diverse industries. While both roles involve data and AI, the certification is more targeted towards AI application skills, whereas Data Scientists encompass a wider range of data analysis and modeling tasks.

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 research analyst. These positions involve developing, implementing, and optimizing AI models using tools like Python and TensorFlow, often requiring strong programming and data analysis skills.

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, often requiring advanced skills, extensive experience, and specialized certifications. These positions usually involve leadership, strategic planning, and development of AI solutions in large organizations or tech companies. Compensation at this level reflects the complexity and impact of the work, as well as the demand for top AI expertise.
More about Temp Generative Ai Certification jobs
What cities are hiring for Temp Generative Ai Certification jobs? Cities with the most Temp 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 Temp Generative Ai Certification jobs? States with the most job openings for Temp Generative Ai Certification jobs include:
Infographic showing various Temp 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 $86,362 per year, or $41.5 per hour.

Full-time

Posted 5 days ago


Job description

Job Summary:
OVA.Work is seeking a Generative AI Developer to design, develop, and deploy AI-powered applications using large language models and multimodal AI models. The ideal candidate will have strong software engineering skills and experience in building production-ready generative AI solutions, collaborating with cross-functional teams to deliver innovative AI applications.
Responsibilities:
• Design, develop, and deploy generative AI applications using LLMs and multimodal AI models.
• Build AI-powered chatbots, virtual assistants, copilots, document intelligence solutions, and content generation applications.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Design and optimize prompts, system instructions, and workflows to improve model performance and accuracy.
• Integrate foundation models through APIs and cloud AI platforms into web, mobile, and enterprise applications.
• Fine-tune, evaluate, and optimize AI models where appropriate using modern training and evaluation techniques.
• Develop AI agents capable of planning, reasoning, and orchestrating multi-step tasks.
• Implement AI safety measures, content filtering, guardrails, and responsible AI practices.
• Collaborate with data engineers, software developers, DevOps engineers, product managers, and business stakeholders.
• Monitor AI application performance, latency, quality, and cost, and continuously improve deployed solutions.
• Create technical documentation, reusable components, and best practices for AI application development.
• Stay current with advancements in generative AI, foundation models, agentic AI, and emerging frameworks.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 3–8+ years of software development experience, including hands-on experience with generative AI technologies.
• Strong proficiency in Python and experience with modern software development practices.
• Experience working with large language models (LLMs) and foundation model APIs.
• Hands-on experience with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Experience developing REST APIs and integrating AI services into enterprise applications.
• Knowledge of machine learning fundamentals, NLP, and model evaluation techniques.
• Familiarity with cloud platforms and AI services.
• Strong analytical, debugging, and problem-solving skills.
Preferred:
• Experience building production-scale AI applications.
• Experience with agentic AI architectures and workflow orchestration.
• Knowledge of model fine-tuning, parameter-efficient tuning, or reinforcement learning concepts.
• Experience with multimodal AI applications involving text, images, audio, or video.
• Experience with MLOps, CI/CD pipelines, and containerized deployments.
• Contributions to open-source AI projects or published AI research.
• Relevant cloud or AI certifications.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.