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Temporary Artificial Intelligence Consultant Jobs

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Temporary Artificial Intelligence Consultant information

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How much do temporary artificial intelligence consultant jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for temporary artificial intelligence consultant in the United States is $49.72, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $62.50 per hour, depending on experience, location, and employer.
What cities are hiring for Temporary Artificial Intelligence Consultant jobs? Cities with the most Temporary Artificial Intelligence Consultant job openings:
What are the most commonly searched types of Artificial Intelligence Consultant jobs? The most popular types of Artificial Intelligence Consultant jobs are:
What states have the most Temporary Artificial Intelligence Consultant jobs? States with the most job openings for Temporary Artificial Intelligence Consultant jobs include:

Artificial Intelligence Consultant

CloudIngest

Dallas, TX • On-site

Other

Posted 6 days ago


Job description

Applied AI Specialist - Cloud Full Stack


Location : Dallas,TX



Required Skills


Programming & Data Skills: Strong in Python and SQL.


Machine Learning Fundamentals: Hands-on with XGBoost, Random Forest, Gradient Boosting, Scikit-learn, PyTorch, TensorFlow, plus deep learning architectures like CNN, U-Net, Autoencoder.


Generative AI / LLM Development: Experience with LangChain, LangGraph, Agentic AI, fine-tuning small/large language models (SLMs/LLMs), and prompt optimization.


RAG & Embeddings: Skilled in Retrieval-Augmented Generation (RAG), FAISS, vector databases, Transformers, BERT, Hugging Face.


Frameworks & APIs: Strong with LangChain framework, REST APIs, Git, CI/CD, Kubernetes.


Cloud ML Platforms: Hands-on with AWS SageMaker, Azure ML Studio, IBM Cloud.


AI Agents & Evaluation: Knowledge of multi-agent systems, RAGAS, LLM-as-Judge, hallucination detection, guardrails.


Problem-Solving: Strong debugging skills and ability to translate business needs into working AI solutions.


Good-to-Have Skills

Extra depth in PyTorch / TensorFlow.


MCP (Model Context Protocal).


MLOps: Pipelines, drift monitoring, observability, Docker, MLflow, Databricks, AWS Lambda, S3.


GraphRAG (graph-based retrieval augmented generation).


Full Stack Web: React, Node.js, TypeScript.