2

Remote Environmental Engineer Jobs in Missouri (NOW HIRING)

Working in a fully remote and highly autonomous environment, you will influence how teams adopt and benefit from AI at scale. This opportunity is ideal for an engineer who enjoys building ...

Join a fast-paced, remote-first engineering team building scalable cloud-native platforms that ... Fully remote work environment with flexible working hours. * Competitive salary and early-stage ...

Our partner is looking for a Game Developer - Voxel-Based Engine (Java) based in Netherlands. This ... Ability to work independently in a remote environment while collaborating effectively with ...

GoLang, Sr Engineer

Monett, MO ยท On-site +1

$60 - $75/hr

Remote (must be within 70 miles of Allen, TX, Birmingham, AL, Cedar Falls, IA, Charlotte, NC ... development environment running and leveraging services on a major cloud platform. * Working ...

Controls Engineer

Kansas City, MO ยท On-site +1

$77K - $99K/yr

Perform on-site and remote commissioning, startup, troubleshooting, system testing, and operator ... Work Environment & Travel * Approximately 60% office-based engineering, programming, design, and ...

Controls Engineer

Kansas City, MO ยท On-site +1

$77K - $99K/yr

Perform on-site and remote commissioning, startup, troubleshooting, system testing, and operator ... Work Environment & Travel * Approximately 60% office-based engineering, programming, design, and ...

Working in a remote-first and highly collaborative environment, you will partner with engineering and research teams to build reliable, secure, and reusable platform services. This is an exciting ...

Controls Engineer

Kansas City, MO ยท On-site +1

$77K - $99K/yr

Perform on-site and remote commissioning, startup, troubleshooting, system testing, and operator ... Work Environment & Travel * Approximately 60% office-based engineering, programming, design, and ...

$166K - $191K/yr

... paced, innovative environment and learn continuously * Self-starter with a strong sense of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Saint Louis, MO ยท Remote

$61.63 - $88.47/hr

... paced, innovative environment and learn continuously * Self-starter with a strong sense of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Independence, MO ยท Remote

$61.63 - $88.47/hr

... paced, innovative environment and learn continuously * Self-starter with a strong sense of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Saint Louis, MO ยท Remote

$166K - $191K/yr

... paced, innovative environment and learn continuously * Self-starter with a strong sense of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Showing results 41-60

Remote Environmental Engineer information

Can remote environmental engineers work remotely?

Remote environmental engineers can work remotely, especially for tasks such as data analysis, report writing, and project planning that do not require on-site presence. However, some roles may require fieldwork, site inspections, or laboratory work, which necessitate physical presence. The feasibility depends on the specific job responsibilities and employer policies.

Are remote environmental engineer jobs in demand?

Remote environmental engineer jobs are in increasing demand due to growing environmental regulations and the need for sustainable solutions. Employers seek professionals with skills in environmental assessment, data analysis, and familiarity with tools like GIS and modeling software. The role often requires relevant certifications and the ability to work independently in a virtual environment.

What skills and qualifications are needed to be a remote environmental engineer?

Remote Environmental Engineers need a solid background in environmental science or engineering, with a relevant degree and often professional certification such as a PE (Professional Engineer) license. Familiarity with GIS software, environmental modeling tools, and remote collaboration platforms is typically required. Strong analytical thinking, effective written communication, and self-motivation are crucial soft skills for working independently and with distributed teams. These competencies ensure accurate assessments, regulatory compliance, and successful project delivery in a remote work environment.

What is a remote environmental engineer?

A Remote Environmental Engineer is a professional who works primarily from a location outside of a traditional office, using digital tools to design, implement, and manage projects that protect the environment. They may conduct environmental assessments, develop sustainability plans, and ensure compliance with environmental regulations, all while collaborating with teams and clients online. This role often involves data analysis, report writing, and virtual meetings to support environmental initiatives from a distance.

How do remote environmental engineers collaborate with on-site teams and stakeholders?

Remote Environmental Engineers often work closely with on-site teams, project managers, and regulatory agencies through virtual meetings, cloud-based project management tools, and frequent email or phone communication. They may review site data, analyze reports, and provide technical guidance from a distance, while relying on local staff for fieldwork and sample collection. Clear communication and strong organizational skills are essential to ensure projects remain on track and regulatory requirements are met. Building strong relationships remotely can be a challenge, but regular check-ins and proactive updates help foster effective teamwork.

Is there a demand for remote environmental engineers?

Remote environmental engineers are in increasing demand as companies and government agencies seek sustainable solutions and compliance with environmental regulations. Skills in data analysis, environmental modeling, and knowledge of regulatory standards enhance job prospects in this field, which often offers flexible work arrangements including remote options.
What are the most commonly searched types of Environmental Engineer jobs in Missouri? The most popular types of Environmental Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Environmental Engineer jobs? Cities in Missouri with the most Remote Environmental Engineer job openings:
Infographic showing various Remote Environmental Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kansas City, MO โ€ข Remote

Full-time

Re-posted 18 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.