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Data Science Remote Volunteer Jobs in Springfield, ID

US Department of Commerce

Meteorologist

Pocatello, ID · On-site +1

$40.74K/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 ...

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Data Science Remote Volunteer information

What is a Data Science Remote Volunteer job?

A Data Science Remote Volunteer job involves assisting organizations with data-related tasks such as data cleaning, analysis, and machine learning model development, all while working remotely. Volunteers typically help nonprofits, research institutions, or startups by leveraging data to drive insights and decision-making. This role allows individuals to gain practical experience, contribute to meaningful projects, and improve their data science skills without being in a paid position.

What are the key skills and qualifications needed to thrive in the Data Science Remote Volunteer position, and why are they important?

To thrive as a Data Science Remote Volunteer, you need a solid understanding of statistical analysis, data cleaning, and programming—typically with experience in Python or R and familiarity with machine learning concepts. Proficiency with data visualization tools like Tableau or Power BI, and knowledge of database systems such as SQL, is highly valuable; certifications like Google Data Analytics or DataCamp can further strengthen your candidacy. Strong communication skills, self-motivation, and the ability to collaborate virtually with diverse teams are essential soft skills. These abilities are crucial for delivering impactful insights, contributing effectively in remote settings, and supporting organizational goals even outside a traditional paid environment.

What does a typical project or task involve for a Data Science Remote Volunteer?

As a Data Science Remote Volunteer, your typical tasks may include cleaning and organizing datasets, developing predictive models, visualizing data findings, and preparing reports for stakeholders. You might collaborate with other volunteers or staff members using collaborative tools like Slack, Zoom, or GitHub to work on projects ranging from social impact data analysis to supporting nonprofit decision-making. Projects often involve both individual research and team-based problem solving, giving you experience in each stage of the data science workflow. This volunteer opportunity is a great way to gain real-world experience, expand your professional network, and make a tangible difference through data-driven insights.
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Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pocatello, ID • Remote

Other

Posted 9 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