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Temp Generative Ai Certification Jobs (NOW HIRING)

Aroha Technologies

Generative AI Engineer

Dallas, TX · Hybrid

Databricks Generative AI Engineer Certification * NVIDIA Deep Learning Institute (DLI) Certifications * OpenAI / LLM / Prompt Engineering certifications (any recognized program) (Certifications ...

New

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 ...

New

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 ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level ...

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 ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level ...

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

Intern - Generative AI/Agentic AI/Research

$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

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 ...

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 ...

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

As of Jun 12, 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. However, practical experience and continuous learning are also important for success in this field.

What is a $900,000 AI job?

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

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 scientist. These positions involve developing, training, and deploying AI models using tools like Python, TensorFlow, or PyTorch, often requiring strong programming and data analysis skills.

Where can I work with an AI certificate?

With a Temp Generative AI Certification, you can work in roles such as AI developer, data scientist, or machine learning engineer across various industries including technology, finance, healthcare, and marketing. These roles often require knowledge of AI tools, programming languages like Python, and experience with machine learning frameworks.
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Temp Generative Ai Certification jobs near you
Infographic showing various Temp Generative Ai Certification job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 93% Full Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $86,362 per year, or $41.5 per hour.
Generative AI Engineer

Generative AI Engineer

Aroha Technologies

Dallas, TX • Hybrid

Other

Posted yesterday

Job description

Job Title: Generative AI Engineer
Location: Dallas, TX (Onsite 5 days/week)
Employment Type: Contract
Role Overview
We are seeking a skilled Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions using LLMs, RAG pipelines, and agentic AI systems. The ideal candidate will have hands-on experience with modern GenAI frameworks, cloud platforms, and strong software engineering fundamentals.
Key Responsibilities
  • Design and develop Generative AI applications using LLMs (OpenAI, Gemini, Claude, Llama, etc.)
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating enterprise data
  • Develop AI agents / agentic systems for autonomous workflows and decision-making
  • Implement prompt engineering, embeddings, and vector search solutions
  • Build scalable APIs and microservices for AI-powered applications
  • Integrate AI models with enterprise systems (databases, APIs, data lakes)
  • Deploy solutions on AWS / Azure / Google Cloud Platform with CI/CD pipelines
  • Implement LLMOps/MLOps practices including monitoring, evaluation, and versioning
  • Ensure AI safety, governance, and hallucination mitigation
  • Collaborate with stakeholders to translate business requirements into AI solutions
Required Skills
  • Strong programming experience in Python (mandatory)
  • Hands-on experience with:
    • LangChain / LlamaIndex / Agent frameworks
    • Vector DBs (Pinecone, FAISS, Weaviate, ChromaDB)
    • RAG & embeddings
  • Knowledge of LLMs, NLP, and transformer models
  • Experience with Docker, APIs, and microservices architecture
  • Cloud experience: AWS / Azure / Google Cloud Platform
  • Understanding of MLOps / LLMOps (CI/CD, monitoring, evaluation)
Preferred Qualifications
  • Experience building production-grade GenAI or agentic systems
  • Knowledge of GraphRAG, knowledge graphs, ontology extraction
  • Exposure to Databricks / MLflow / Spark
  • Experience in fine-tuning LLMs or model optimization
Education
  • Bachelor's or Master's degree in Computer Science, AI, ML, or related field
Mandatory / Preferred Certifications (AI-Focused)
Include at least 1 2 of the following:
  • Google Cloud Professional Machine Learning Engineer
  • Microsoft Azure AI Engineer Associate
  • AWS Machine Learning Specialty
  • Databricks Generative AI Engineer Certification
  • NVIDIA Deep Learning Institute (DLI) Certifications
  • OpenAI / LLM / Prompt Engineering certifications (any recognized program)
(Certifications significantly strengthen candidacy for enterprise AI roles.)
Experience
  • 5+ years in software engineering / AI/ML
  • 2+ years in Generative AI / LLM-based solutions
Nice to Have
  • Experience with agentic AI / multi-agent systems
  • Strong understanding of AI governance & responsible AI
  • Prior experience working in onsite enterprise environments

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