ZipRecruiter

Log In

1

Logging Worker Jobs in Ohio (NOW HIRING)

The Ohio State University

Dairy Worker 1

Wooster, OH · On-site

$13.75 - $16.50/hr

Dairy Worker 1 Department: FAES | Animal Sciences Wooster Dairy Center The Dairy Worker is ... Please view your submitted applications by logging in and reviewing your status. For answers to ...

Ohio State University

Dairy Worker 1

Wooster, OH · On-site

$13.75 - $16.50/hr

Dairy Worker 1 Department:FAES | Animal Sciences Wooster Dairy Center The Dairy Worker is ... Please view your submitted applications by logging in and reviewing your status. For answers to ...

Ohio State University

Dining Utility Worker

Columbus, OH

$15.60 - $19.50/hr

Dining Utility Worker Department:Student Life | Dining Services The Utility Worker maintains a ... Please view your submitted applications by logging in and reviewing your status. For answers to ...

Lycon trucking

Class A CDL OTR Truck Driver

Cincinnati, OH · On-site

$85K - $124K/yr

This position involves solo and team driving setups, utilizing Electronic Logging Devices (ELD) for ... Valid Class A Commercial Driver's License (CDL) * Transportation Worker Identification Credential ...

ASMGi

Service Desk Technician

Cleveland, OH · On-site

$31K - $52K/yr

The focus is on working comfortably under close supervision within a stable, secure team. Key Responsibilities: * Providing Service Desk Level 1 support including receiving and logging support calls ...

next page

Showing results 1-20

All JobsLogging Worker JobsLogging Worker Jobs in Ohio

Logging Worker information

See Ohio salary details

$9

$19

$28

How much do logging worker jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for logging worker in Ohio is $19.32, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.73 per hour, depending on experience, location, and employer.

What is a logging worker?

Logging workers are professionals who harvest forests to supply raw materials for industries such as lumber, paper, and wood products. They use specialized equipment to cut down trees, remove branches, and transport logs to processing sites. Logging workers may also be responsible for maintaining equipment and ensuring safety standards are followed in potentially hazardous environments. Their work is often physically demanding and is performed outdoors, sometimes in remote locations. Logging is essential to the supply chain for construction, furniture-making, and paper products.

What are some safety challenges logging workers typically face, and how are they addressed on the job?

Logging workers often encounter hazardous conditions, such as working with heavy machinery, falling trees, and unpredictable weather. To mitigate these risks, comprehensive safety training is provided, and strict protocols must be followed, including wearing personal protective equipment and adhering to safety guidelines during tree felling and equipment operation. Teamwork and clear communication are crucial, as workers must coordinate closely to ensure everyone's safety during logging operations. Regular safety briefings and equipment maintenance also play a key role in minimizing accidents and injuries.

What are the key skills and qualifications needed to thrive as a logging worker, and why are they important?

To thrive as a Logging Worker, you need physical stamina, mechanical aptitude, and a basic understanding of forestry practices, often supported by a high school diploma or equivalent. Experience with chainsaws, logging machinery, and safety equipment is crucial, and some positions may require safety certifications such as OSHA training. Attention to detail, teamwork, and strong communication are essential soft skills for working safely and efficiently in outdoor environments. These skills and qualifications help ensure safe operations, minimize accidents, and support effective timber harvesting.

What is the difference between Logging Worker vs Timber Cutter?

AspectLogging WorkerTimber Cutter
CredentialsHigh school diploma or equivalent; safety certificationsHigh school diploma; safety certifications often required
Work EnvironmentForests, logging sites, outdoorForests, outdoor, often in remote areas
Industry UsageCommonly used in logging companies and forestryUsed interchangeably with Logging Worker, especially in manual cutting roles
Job FocusOperating equipment, assisting in logging operationsCutting and felling trees manually

Both Logging Workers and Timber Cutters work outdoors in forestry environments, often requiring safety certifications. While Logging Workers may operate machinery and assist in various logging tasks, Timber Cutters focus primarily on manual tree felling. The roles overlap significantly, but the term 'Logging Worker' is broader, encompassing multiple tasks within logging operations.

Do logging workers make good money?

Logging workers typically earn wages that are above the national average for many occupations, with pay often increasing with experience, skills, and certifications such as OSHA safety training. However, the job can be physically demanding and hazardous, which is reflected in the compensation. Overall, logging can be a well-paying career for those with the necessary skills and willingness to work in challenging environments.

How do you become a logging worker?

To become a logging worker, individuals typically need a high school diploma or equivalent and should gain experience operating heavy machinery such as chainsaws and skidders. Many start as laborers or apprentices to learn safety procedures and technical skills, and some employers may require certifications in first aid or equipment operation.

What are popular job titles related to Logging Worker jobs in Ohio?

For Logging Worker jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Logging Worker jobs in Ohio look for?

The top searched job categories for Logging Worker jobs in Ohio are:

Logging Worker jobs near you
Infographic showing various Logging Worker job openings in Ohio as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $40,182 per year, or $19.3 per hour.

Software Engineer Python - Advanced

Columbus, OH • On-site

Logging-in
51 - 200 employees
Learn more about Logging-inexternal

$55 - $60/hr

Contractor

Posted 3 days ago

New

Job description

Job Title: Software Engineer Python – Advanced
Location: Columbus, OH
Duration: Long Term

Looking for Candidate who are available on W2 Roles.

We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic application development.

The ideal candidate will work closely with client engineering and product teams to design, develop, integrate, and deploy production-grade agentic AI solutions. This role requires strong software engineering fundamentals, the ability to work with modern AI frameworks, and excellent client-facing problem-solving skills.

Key Competencies: Python | Agentic AI | Generative AI | LLMs | AI Agents | Lang Chain | Lang Graph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | Fast API | REST APIs | AWS/Azure/GCP | Bedrock | Azure AI Foundry | Vertex AI | Docker | Kubernetes | CI/CD | AI Governance | Client Engineering | FDE.

Key Responsibilities:
  • Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
  • Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines.
  • Develop production-grade Python services, APIs, integrations, and backend components.
  • Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
  • Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or similar frameworks.
  • Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications.
  • Develop and consume REST APIs, microservices, and event-driven integrations.
  • Implement appropriate mechanisms for agent memory, context management, state management, and knowledge retrieval.
  • Work with cloud-based AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Vertex AI/Gemini.
  • Implement observability, monitoring, logging, evaluation, and performance optimization for AI applications.
  • Collaborate with architects, product managers, data scientists, and client stakeholders to translate business requirements into technical solutions.
  • Participate in client discussions, technical workshops, solution demonstrations, and proof-of-concepts.
  • Troubleshoot complex technical issues and provide hands-on engineering support during implementation.
  • Follow secure and responsible AI engineering practices, including appropriate authentication, authorization, data protection, and AI governance.
 
Required Technical Skills:
  • Python – Advanced.
  • Strong hands-on expertise in Python.
  • Advanced knowledge of Python programming concepts, OOP, data structures, exception handling, concurrency/asynchronous programming, and performance optimization.
  • Experience building production-grade applications and APIs using frameworks such as FastAPI, Flask, or Django.
  • Strong understanding of testing, debugging, logging, packaging, and dependency management.
 
Agentic AI / Generative AI:
  • Strong understanding of LLMs, Generative AI, AI Agents, Agentic AI, and LLM application architecture.
  • Hands-on experience with one or more agent frameworks such as:
    • LangChain / LangGraph.
    • OpenAI Agent SDK.
    • Google ADK.
    • CrewAI.
    • AutoGen.
    • Microsoft Agent Framework or equivalent.
  • Experience with RAG, vector search, embeddings, prompt engineering, tool/function calling, structured outputs, and agent orchestration.
  • Understanding of agent memory, context management, multi-agent systems, and agent evaluation.
 
Cloud & AI Platforms:
  • Experience with at least one major cloud platform: AWS, Azure, or GCP.
  • Exposure to AI platforms such as Amazon Bedrock, Azure AI Foundry, Vertex AI/Gemini, or equivalent.
  • Understanding of deploying AI applications in cloud environments.
 
APIs & Integration:
  • Strong experience with REST APIs, JSON, web services, authentication, and third-party integrations.
  • Experience integrating AI solutions with enterprise applications and data sources.
  • Understanding of microservices and distributed application architecture.
 
Data & Databases:
  • Experience with SQL and relational databases.
  • Exposure to NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, pgvector, or equivalent.
  • Understanding of data ingestion, retrieval, chunking, embeddings, and knowledge bases.
 
Preferred Skills:
  • Experience with Docker, Kubernetes, CI/CD, Git, and cloud deployment.
  • Exposure to AI observability and evaluation tools.
  • Understanding of AI governance, guardrails, responsible AI, and security considerations for agentic systems.
  • Experience with MCP (Model Context Protocol) and enterprise tool integrations.
  • Experience working with enterprise-grade AI platforms or agent orchestration platforms.
  • Knowledge of authentication and authorization mechanisms such as Oauth2/JWT.
  • Experience working in financial services, banking, or other highly regulated environments is a plus.
 
FDE / Client-Facing Skills:
  • Strong communication and stakeholder management skills.
  • Ability to work directly with client engineering, architecture, and product teams.
  • Ability to understand ambiguous business problems and convert them into technical solutions.
  • Comfortable conducting technical workshops, architecture discussions, POCs, demos, and troubleshooting sessions.
  • Ability to work independently in a fast-paced client environment.
  • Strong analytical and problem-solving skills.
 
Education & Experience:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
  • 5+ years of software engineering experience, with strong hands-on Python development experience.
  • 2+ years of experience in Generative AI / LLM / Agentic AI development preferred.
  • Proven experience delivering production-grade applications or AI solutions.