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Remote Scientist Jobs in Alabama (NOW HIRING)

Discovery Life Sciences

Account Executive

AL · On-site +1

$50K - $85K/yr

Discovery Life Sciences (Discovery) is a leading provider of highly characterized human ... Remote US - eastern or central time zone * Flexible work schedule, start time between 7am and 9am ...

CSAA

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Cisco

Software Security Lead (Remote)

Birmingham, AL · Remote

The application window is expected to close on: 10/01/2026 This is a remote role and work may be ... Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ...

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Cisco

Software Security Lead (Remote)

Birmingham, AL · Remote

The application window is expected to close on: 10/01/2026 This is a remote role and work may be ... Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ...

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Remote Scientist information

See Alabama salary details

$75.7K

$115.1K

$155K

How much do remote scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote scientist in Alabama is $115,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $130,100.00 per year, depending on experience, location, and employer.

What is a remote scientist?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What does a remote scientist do?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

What skills and qualifications are needed to thrive as a remote scientist?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

Is 40 too late to become a remote scientist?

Age is not a barrier to becoming a remote scientist, as the field values skills, experience, and education. Many scientists transition careers or pursue advanced degrees later in life, and remote work often requires strong communication and technical skills that can be developed at any age.

What remote scientist jobs are there?

Remote scientist jobs include roles such as research scientists, data scientists, laboratory scientists, and environmental scientists. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific research, and may involve collaboration through digital tools and virtual meetings.

What are the most commonly searched types of Scientist jobs in Alabama?

The most popular types of Scientist jobs in Alabama are:

What are popular job titles related to Remote Scientist jobs in Alabama?

For Remote Scientist jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Remote Scientist jobs in Alabama look for?

The top searched job categories for Remote Scientist jobs in Alabama are:

What cities in Alabama are hiring for Remote Scientist jobs?

Cities in Alabama with the most Remote Scientist job openings:

Remote Scientist jobs near you
Infographic showing various Remote Scientist job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 91% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $115,139 per year, or $55.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Huntsville, AL • 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

​

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