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Google Environmental Jobs in Springfield, MO (NOW HIRING)

... environments. * Familiarity with Facebook Ads Manager , including audience building and location-based targeting. * Understanding of local SEO, Google Business Profile optimization and creating ...

Shift Lead - Springfield

Springfield, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... environments and is excited to roll up their sleeves and actively engage in day-to-day operations ... You are at least 18 years of age. * You're organized and proficient in Google Docs and Google ...

Radiology - CT Tech

Springfield, MO · On-site

$2.3K/wk

  • Medical

  • Dental

  • Vision

Our recruiters are consistently praised on Google for their responsiveness, dedication ... work environments. Required for Submission: 1. Minimum of 1 year recent work experience in the ...

Learn and work with marketing platforms such as HubSpot, Google Analytics, and social media tools ... A supportive and collaborative team environment. * Exciting projects and a chance to make an impact.

Deli Production Team Member

Springfield, MO

$15 - $18.75/hr

  • Medical

  • Retirement

  • PTO

Pilot Company offers a dynamic environment where no two days are the same. Team members have the ... Job Location Google Maps requires functional cookies to be enabled Required Preferred Job ...

Janitorial Maintenance

Springfield, MO

$15 - $20.13/hr

  • Medical

  • Retirement

  • PTO

Pilot Company offers a dynamic environment where no two days are the same. Team members have the ... Job Location Google Maps requires functional cookies to be enabled Required Preferred Job ...

Cashier

Springfield, MO

$15 - $17.35/hr

  • Medical

  • Retirement

  • PTO

Pilot Company offers a dynamic environment where no two days are the same. Team members have the ... Google Maps requires functional cookies to be enabled

Showing results 21-40

Google Environmental information

See Springfield, MO salary details

$29.6K

$55.5K

$92.8K

How much do google environmental jobs pay per year?

As of Aug 13, 2026, the average yearly pay for google environmental in Springfield, MO is $55,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,600.00 and $66,400.00 per year, depending on experience, location, and employer.

What does a Google Environmental Specialist do?

A Google Environmental Specialist works to develop and implement sustainability initiatives at Google, ensuring the company reduces its environmental impact. Their responsibilities include managing energy efficiency projects, reducing waste, ensuring compliance with environmental regulations, and promoting the use of renewable resources within Google’s operations. They collaborate with cross-functional teams to drive environmental programs, measure progress, and report on Google's sustainability goals. Overall, they help Google maintain its commitment to environmental stewardship while supporting innovative solutions for a greener future.

What are the key skills and qualifications needed to thrive as a Google Environmental Specialist, and why are they important?

To thrive as a Google Environmental Specialist, you need expertise in environmental science, sustainability practices, and data analysis, typically supported by a degree in environmental studies or a related field. Familiarity with environmental management systems (EMS), GIS tools, and relevant certifications like LEED or ISO 14001 is highly valued. Strong communication, project management, and problem-solving skills help professionals collaborate effectively and drive sustainability initiatives. These competencies are crucial for advancing Google's environmental goals and ensuring compliance with regulations while minimizing ecological impact.

What are some of the main challenges faced by professionals in a Google Environmental role, and how are they addressed within the team?

Professionals in a Google Environmental role often encounter challenges such as navigating complex regulatory requirements, coordinating sustainability initiatives across global teams, and implementing innovative solutions at scale. To address these, the team fosters a collaborative environment where cross-functional communication is encouraged, and ongoing training is provided to stay abreast of evolving standards. Additionally, employees are supported by access to cutting-edge tools and resources, as well as mentorship from experienced colleagues, enabling them to effectively tackle environmental goals while advancing their careers.
What are popular job titles related to Google Environmental jobs in Springfield, MO? For Google Environmental jobs in Springfield, MO, the most frequently searched job titles are:
What cities near Springfield, MO are hiring for Google Environmental jobs? Cities near Springfield, MO with the most Google Environmental job openings:
Infographic showing various Google Environmental job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $55,488 per year, or $26.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO • On-site

Other

Re-posted 22 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.