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Logging Jobs in Michigan (NOW HIRING)

ComForCare

Home Health Aide

Adrian, MI · On-site

$14 - $17/hr

Must be tech savvy enough to navigate an app for the purposes of logging in and out of your shift, as well as logging client notes and tasks. Requirements include: *Pass a background check *Pass a ...

ComForCare

Home Health Aide

Adrian, MI · On-site

$14 - $17/hr

Must be tech savvy enough to navigate an app for the purposes of logging in and out of your shift, as well as logging client notes and tasks. Requirements include: *Pass a background check *Pass a ...

Postle Operating LLC

Class A Driver

Cassopolis, MI · On-site

Familiarity with electronic logging devices (ELDs) and GPS navigation systems. * Customer service experience and strong communication skills. * Additional endorsements such as HazMat, Tanker, or ...

Oakland Schools

Bus Attendant

Waterford, MI

Document student behaviors and incidents by logging information. * Using specialized training to administer rescue medication when necessary. * Learn evacuation procedures and emergency procedures.

Peterson Farms Inc

OTR Driver-JVC

Hart, MI · On-site

$1.1K - $1.4K/wk

Drivers considered for employment need to have experience with, or at least be open to operating an electronic logging device. Responsibilities: • Represent PFI/JVC in a way that is courteous and ...

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Logging information

What Are Logging Jobs?

As a logger, your job is to cut down trees and get the logs ready to transport. This frequently includes helping trim and delimb each fallen tree, determining which trees are suitable for use as timber, and doing other forestry work as needed. Logging often requires the use of specialized equipment and machinery, including cranes, boats, and chainsaws, and loggers usually take on several roles to get the job done. Some details of this job vary based on factors like where you work and what sort of wood you're cutting down. You are also responsible for ensuring forests are appropriately managed and cut in a way that guarantees the longevity of the area.

What is the difference between Logging vs Forestry Worker?

AspectLoggingForestry Worker
Required CredentialsHigh school diploma, safety certifications, equipment operation trainingHigh school diploma, safety certifications, environmental knowledge
Work EnvironmentForests, logging sites, heavy machineryForests, conservation areas, outdoor settings
Industry UsagePrimary role in timber harvestingSupporting roles in forest management and conservation

Logging involves the active cutting and harvesting of trees, often using heavy machinery, while forestry workers support forest management, conservation, and reforestation efforts. Both roles require safety certifications and outdoor work, but logging is more focused on timber extraction, whereas forestry workers focus on sustainable practices and environmental protection.

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. Familiarity with chainsaws, logging machinery, and safety systems, as well as completion of safety training or certification programs, is typically required. Attention to detail, teamwork, and a strong commitment to safety are vital soft skills in this hazardous environment. These skills ensure efficient timber harvesting while minimizing accidents and environmental impact.

What jobs pay 2000 a day?

In the logging industry, highly experienced professionals such as senior forest managers, specialized equipment operators, or consultants can earn around $2,000 per day, especially when working on large-scale projects or in remote locations. These roles often require advanced skills, certifications, and extensive experience in forestry, safety protocols, and equipment operation.

What are some common challenges faced by logging professionals in the field, and how can they be addressed?

Logging professionals often encounter challenges such as working in remote or rugged terrain, adhering to strict safety regulations, and dealing with unpredictable weather conditions. These challenges can be managed by using specialized equipment, participating in regular safety training, and maintaining clear communication with team members. Additionally, staying updated on best practices and environmental guidelines helps ensure sustainable and efficient logging operations.

Do loggers make money?

Loggers typically earn wages based on factors such as experience, location, and the volume of timber they harvest. Entry-level loggers may start with lower pay, while experienced professionals or those with specialized skills can earn higher wages, often supplemented by overtime or seasonal bonuses. Certification and safety training can also influence earning potential.

What job makes $10,000 a month without a degree?

In logging, high-paying roles such as experienced forest managers or specialized equipment operators can earn around $10,000 per month, especially with extensive experience and certifications. These jobs often require physical skill, knowledge of safety protocols, and sometimes specialized training, but not necessarily a college degree.

How can I make 2000 a week working from home?

Logging jobs typically pay based on the amount of timber processed or the hours worked, with experienced loggers earning higher wages. To make $2000 a week, one would need to work full-time, often requiring specialized skills, certifications, and access to logging equipment or remote work in related fields like forestry consulting or equipment operation. Income levels vary widely depending on experience, location, and the specific role within the logging industry.

What are logging jobs?

Logging jobs involve the process of cutting down trees, transporting the timber, and processing it for use in industries such as construction, paper, and furniture manufacturing. Workers in logging may include loggers, equipment operators, truck drivers, and supervisors. These roles require operating heavy machinery, maintaining safety standards, and working outdoors in various weather conditions. Logging jobs are physically demanding and often located in remote forested areas.
More about Logging jobs
What are the most commonly searched types of Logging jobs in Michigan? The most popular types of Logging jobs in Michigan are:
What are popular job titles related to Logging jobs in Michigan? For Logging jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Logging jobs in Michigan look for? The top searched job categories for Logging jobs in Michigan are:
What cities in Michigan are hiring for Logging jobs? Cities in Michigan with the most Logging job openings:
Logging jobs near you
Infographic showing various Logging job openings in Michigan as of June 2026, with employment types broken down into 67% Full Time, 25% Part Time, 4% Contract, and 4% Nights. Highlights an 100% In-person job distribution.

Senior Engineer - Agentic AI

Tata Consultancy Service Limited

Troy, MI • On-site

$115K - $155K/yr

Full-time

Posted 8 days ago

Job description

Role: Senior Engineer - Agentic AI
Location options: Any US Location
Job Description:
Preface: The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AIautonomous systems that execute tasks independentlyroles like AI Agent Engineer have emerged. In this client-facing consulting position, youll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.
What You Would Be Doing
• Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
• Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
• Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
• Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
• System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
• Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
• Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
• Collaboration & Agile Delivery: Work with AI Architects, Data Engineers, and UX Developers in agile teams, contributing to sprints and client demos.
• Industry-Specific Customization: Tailor solutions for each industry, adapting compliance, personalization, and integration as needed.
• Adhere to AI Ethics & Safety: Implement guardrails, content moderation, and privacy measures, following TCSs responsible AI guidelines.
What Skills Are Expected
• Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).
• AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
• Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
• RAG and Data Handling: Familiarity with embedding models, vector databases, and un structured data processing.
• API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
• Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
• Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
• Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
• Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
• Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
• Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.
Key Technology Capabilities
• Languages & Frameworks: Mastery of Python for AI/ML, with exposure to JavaScript/TypeScript, FastAPI, or Flask for APIs.
• AI/ML Tools: Experience with AI model APIs (OpenAI, Azure OpenAI), and ML frameworks like PyTorch or TensorFlow.
• Agent Development Libraries: Hands-on with LangChain or similar frameworks for prompt management and agent logic.
• Databases & Data Access: Working with SQL, NoSQL, and vector databases (e.g., Pinecone, Weaviate) for data retrieval.
• DevOps & Deployment: Familiarity with Docker, CI/CD, and cloud deployment (AWS, Azure, GCP, Lambda/Functions).
• Version Control & Collaboration: Proficient with Git and DevOps platforms (GitHub, GitLab, Bitbucket).
• Testing Tools: PyTest, Postman, and AI evaluation methods.
• Cloud & Services: Practical knowledge of cloud AI offerings and environment configuration.
• Messaging & Async Processing: Experience with event-driven workflows (RabbitMQ, Kafka, SQS) is a plus.
• Monitoring & Logging: Implementing logging (Python logging, CloudWatch, Application Insights) for tracking and debugging.
• Frameworks for UI (optional): Familiarity with Streamlit or basic web development for internal agent demos.
• Security & Compliance Tools: Handling OAuth, encryption, and compliance libraries for regulated industries.
• Source Data Tools: Using NLP libraries for text preprocessing and embeddings (e.g., sentence-transformers, Jupyter notebooks).
Salary Range: $115,000 - $155,000 a year
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