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Learning Analytics Remote Jobs in Missouri (NOW HIRING)

Accountant (remote)

Saint Louis, MO · On-site +1

$61K - $82K/yr

... and analytical ability to delight clients. Do you have at least 4 years of experience with ... a continuous learning mindset * excited to leverage technology to increase productivity ...

... and analytical ability to delight clients. Do you have at least 4 years of experience with ... a continuous learning mindset * excited to leverage technology to increase productivity ...

You will also use automation, research, analytics, and emerging tools to create scalable ways of ... Flexible, remote-first working environment with the ability to work independently. * High level of ...

Senior Reporting Business Analyst

MO · On-site +1

$69K - $99K/yr

... learning, and career development. Summary As a Senior Reporting Business Analyst at Gainwell, you ... Fully remote options from Contiguous US locations only * Office Hours - 8a-5p central time * Video ...

Fully remote flexibility, with the option to work from an office and the opportunity to combine ... Personal learning budget to support continuous professional development. * Paid volunteering ...

Showing results 21-40

Learning Analytics Remote information

What is a learning analytics remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are the key skills and qualifications needed to thrive as a learning analytics professional working remotely?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What cities in Missouri are hiring for Learning Analytics Remote jobs?

Cities in Missouri with the most Learning Analytics Remote job openings:

Infographic showing various Learning Analytics Remote job openings in Missouri as of June 2026, with employment types broken down into 64% Full Time, 24% Part Time, and 12% Contract. Highlights an 100% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Lees Summit, MO • Remote

$70 - $90/hr

Part-time

Posted 23 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.