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Remote Data Science Tutor Jobs in Rochester, MN (NOW HIRING)

Remote Exercise Specialist

Rochester, MN ยท On-site +1

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

Remote Exercise Specialist

Rochester, MN ยท Remote

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

Remote Exercise Specialist

Rochester, MN ยท Remote

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

Remote Nutrition Specialist

Rochester, MN ยท On-site +1

$26 - $36/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

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Showing results 1-20

Remote Data Science Tutor information

See Rochester, MN salary details

$9

$46

$95

How much do remote data science tutor jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote data science tutor in Rochester, MN is $46.40, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $56.44 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What are Remote Data Science Tutors?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What are popular job titles related to Remote Data Science Tutor jobs in Rochester, MN? For Remote Data Science Tutor jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Tutor jobs in Rochester, MN look for? The top searched job categories for Remote Data Science Tutor jobs in Rochester, MN are:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN โ€ข Remote

Other

Posted 27 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.