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Remote Building Code Plan Reviewer Jobs in Springfield, OH

... the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly ... Participate in peer reviews, contribute to shared repositories, and document models and experiments ...

... the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly ... Participate in peer reviews, contribute to shared repositories, and document models and experiments ...

Hospital Billing Operator

Dayton, OH · Remote

$17.75 - $22.75/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... Review patient accounts, charge details, coding inputs, and supporting documentation for billing ...

This is a primarily remote role supporting enterprise Epic implementation, with minimal travel and ... Review patient accounts, charge details, coding inputs, and supporting documentation for billing ...

Senior Scientist

Dayton, OH · Remote

$85K - $116K/yr

We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion-our work ... Custom Solutions, Not Cookie-Cutter Code: We build AI-enhanced software for electro-optical ...

... remote work and setting your own schedule. We are looking for an existing Coder (this is an ... building beautiful apps with rich functionality, and synthesizing insights through data analysis ...

QA Engineer - AI Trainer

Dayton, OH · Remote

$50 - $100/hr

... remote work and setting your own schedule. We are looking for an existing Coder (this is an ... building beautiful apps with rich functionality, and synthesizing insights through data analysis ...

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Remote Building Code Plan Reviewer information

See Springfield, OH salary details

$9

$26

$43

How much do remote building code plan reviewer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote building code plan reviewer in Springfield, OH is $26.92, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $32.93 per hour, depending on experience, location, and employer.

What is the difference between Remote Building Code Plan Reviewer vs Remote Building Inspector?

AspectRemote Building Code Plan ReviewerRemote Building Inspector
CredentialsTypically requires building code certifications, such as ICC or local authority licensesRequires similar certifications, often ICC certifications for inspectors
Work EnvironmentPrimarily office-based, reviewing plans remotelyField-based, inspecting construction sites remotely or on-site
Employer & Industry UsageUsed by municipalities, architectural firms, and construction companies for plan reviewEmployed by local governments, construction firms, and inspection agencies for site inspections

The main difference is that Remote Building Code Plan Reviewers focus on analyzing construction plans remotely to ensure compliance with codes, while Remote Building Inspectors conduct on-site or remote inspections to verify construction adherence. Both roles require similar certifications but differ in their primary responsibilities and work environments.

What are the most commonly searched types of Building Code Plan Reviewer jobs in Springfield, OH? The most popular types of Building Code Plan Reviewer jobs in Springfield, OH are:
What job categories do people searching Remote Building Code Plan Reviewer jobs in Springfield, OH look for? The top searched job categories for Remote Building Code Plan Reviewer jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Remote Building Code Plan Reviewer jobs? Cities near Springfield, OH with the most Remote Building Code Plan Reviewer job openings:
AI/ML Engineer

Full-time

Posted 27 days ago


Job description

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.


  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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