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Remote Science Jobs in Vermont (NOW HIRING)

Revvity

Sr. Tax Manager (REMOTE)

Montpelier, VT · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... MA, or remote for candidates based on the East Coast. Key Responsibilities: * Support cross ...

US Department of Commerce

Meteorologist

Burlington, VT · On-site +1

$40K/yr

Meteorology, Atmospheric Science, or other natural science major that included: 1. At least 24 ... Two semester hours of remote sensing of the atmosphere and/or instrumentation. 2. Six semester ...

Eliassen Group

Technical Project Manager

Montpelier, VT · On-site +1

$50 - $62/hr

Remote Reference ID: JN -042026-106675 Date Posted: 05/29/2026 Shortcut: * Description ... life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain ...

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All JobsRemote Science JobsRemote Science Jobs in Vermont

Remote Science information

See Vermont salary details

$26.1K

$51.5K

$84K

How much do remote science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote science in Vermont is $51,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,900.00 and $55,300.00 per year, depending on experience, location, and employer.

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

Remote science-related roles such as freelance data scientists, scientific consultants, or specialized research analysts can earn $10,000 or more per month without a formal degree, often by leveraging skills in programming, data analysis, and scientific tools. Success in these roles typically depends on experience, portfolio, and expertise rather than formal education alone.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

Can you work remotely as a scientist?

Remote science jobs are available in various fields such as research, data analysis, and laboratory management, often requiring strong computer skills and familiarity with digital collaboration tools. Many organizations offer remote positions, but some roles may require on-site presence for experiments or equipment use. Job requirements vary depending on the specific scientific discipline and employer policies.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

How can I make $100,000 a year working from home?

Remote science roles such as data scientists, research analysts, or scientific consultants can reach a $100,000 annual salary with advanced degrees, specialized skills, and experience. Building expertise in programming, statistical tools, and industry-specific knowledge, along with a strong professional network, can help achieve this income level while working remotely.

What are the key skills and qualifications needed to thrive as a Remote Science professional, and why are they important?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

Are there remote science jobs?

Yes, remote science jobs are available across various fields such as research, data analysis, and laboratory work. These roles often require strong technical skills, relevant certifications, and the ability to work independently in a virtual environment.
What are the most commonly searched types of Science jobs in Vermont? The most popular types of Science jobs in Vermont are:
What are popular job titles related to Remote Science jobs in Vermont? For Remote Science jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Vermont look for? The top searched job categories for Remote Science jobs in Vermont are:
What cities in Vermont are hiring for Remote Science jobs? Cities in Vermont with the most Remote Science job openings:
Remote Science jobs near you
Infographic showing various Remote Science job openings in Vermont as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 48% Physical, 4% Hybrid, and 48% Remote job distribution, with an average salary of $51,452 per year, or $24.7 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rutland, VT • Remote

Other

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.

Apply