ZipRecruiter

Log In

2

Remote Make Ready Engineer Jobs in Jackson, TN (NOW HIRING)

Quora

iOS Engineer -Remote

Jackson, TN · Remote

$61.63 - $88.47/hr

Join us on this journey to create a positive impact and make a significant change in the world ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

FirstBank

Senior Automation Developer

Lexington, TN · Remote

... is remote, but you MUST be located in our business footprint, which includes the following states: TN, KY, AL, GA, NC Summary: We're in search for a Senior Automation Developer that is ready to ...

Hitachi

2027 Summer Engineering Intern - Alamo

Alamo, TN · On-site +1

$15.75 - $20.50/hr

Administration & Facilities Job Schedule: Full time Remote: No At Hitachi Energy, you can work with ... Our inclusive environment fosters growth, learning, and collaboration, empowering you to make a ...

New

next page

Showing results 1-20

All JobsMake Ready Engineer JobsRemote Make Ready Engineer JobsRemote Make Ready Engineer Jobs in Jackson, TN

Remote Make Ready Engineer information

See Jackson, TN salary details

$37K

$96.6K

$130.5K

How much do remote make ready engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote make ready engineer in Jackson, TN is $96,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $110,500.00 per year, depending on experience, location, and employer.

What is a remote make ready engineer?

A Remote Make Ready Engineer is a professional who assesses and prepares infrastructure, such as utility poles or telecommunications equipment, for new installations or upgrades—often working off-site using digital tools and remote access. They analyze existing conditions, develop make-ready engineering plans, and coordinate with relevant teams to ensure compliance with safety and regulatory standards. This role is essential in industries like telecommunications and power distribution, where efficient and accurate pre-construction assessments are needed to support network expansions. Remote Make Ready Engineers typically use mapping software, databases, and remote communication platforms to perform their duties. Their work helps streamline project timelines and minimize on-site disruptions.

What are the key skills and qualifications needed to thrive as a remote make ready engineer?

To thrive as a Remote Make Ready Engineer, you need strong knowledge of utility infrastructure, NESC standards, and telecommunications construction, typically supported by a degree in engineering or related field. Proficiency with GIS mapping software, pole loading analysis tools, and project management systems is commonly required. Attention to detail, problem-solving, and effective communication are essential soft skills for collaborating with field teams and stakeholders. These skills and qualifications ensure accurate assessments, regulatory compliance, and the successful execution of telecom infrastructure projects.

What are some common challenges faced by remote make ready engineers, and how can they be addressed?

Remote Make Ready Engineers often encounter challenges such as coordinating with multiple stakeholders (utilities, permitting agencies, field crews) across different locations and time zones. Additionally, working remotely can make it harder to verify on-site conditions and ensure accurate documentation. These challenges can be addressed by leveraging advanced project management and communication tools, maintaining clear documentation, and scheduling regular virtual meetings with all parties. Proactively building strong relationships with local contacts also helps streamline the make-ready process and minimize delays.

What is the difference between Remote Make Ready Engineer vs Remote Construction Coordinator?

AspectRemote Make Ready EngineerRemote Construction Coordinator
CredentialsEngineering degree, technical certificationsProject management certifications, construction experience
Work EnvironmentRemote, technical review, site assessmentsRemote, project oversight, communication with teams
Industry UsageTelecom, broadband, network deploymentConstruction, infrastructure projects

The Remote Make Ready Engineer primarily focuses on technical assessments and preparing sites for new installations, often requiring engineering credentials. The Remote Construction Coordinator manages project timelines and coordination, emphasizing project management skills. Both roles are essential in telecom and construction industries, with overlapping remote work environments and industry applications.

What cities near Jackson, TN are hiring for Remote Make Ready Engineer jobs?

Cities near Jackson, TN with the most Remote Make Ready Engineer job openings:

Remote Make Ready Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Jackson, TN • Remote

Full-time

Re-posted 14 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply