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Learning Analytics Remote Jobs in Missouri (NOW HIRING)

Fully remote-first work environment with the flexibility to work from anywhere within eligible ... Access to professional development programs, training resources, and continuous learning ...

Eligible Remote States: * Alabama Iowa North Carolina Wisconsin * Arkansas Kansas Ohio * Florida ... BJC Institute for Learning and Development * Health Care and Dependent Care Flexible Spending ...

$88K - $89K/yr

Monitor and analyze partner performance metrics , identifying insights to refine strategy and ... Remote first, with the flexibility to include life needs like school runs and gym breaks in your ...

Mainframe Developer (Remote)

Chesterfield, MO ยท Remote

$48.50 - $62.25/hr

Various training courses to promote continuous learning * Corporate Wellness Program * Be part of a ... Analyze business requirements and system specifications to develop effective and efficient COBOL ...

Mainframe Developer (Remote)

Chesterfield, MO ยท On-site +1

$48.50 - $62.25/hr

Various training courses to promote continuous learning * Corporate Wellness Program * Be part of a ... Analyze business requirements and system specifications to develop effective and efficient COBOL ...

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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 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 are the key skills and qualifications needed to thrive as a Learning Analytics professional working remotely, and why are they important?

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 the most commonly searched types of Learning Analytics jobs in Missouri? The most popular types of Learning Analytics jobs in Missouri are:
What cities in Missouri are hiring for Learning Analytics Remote jobs? Cities in Missouri with the most Learning Analytics Remote job openings:
Associate Game Developer (Panda3D) - Remote

Associate Game Developer (Panda3D) - Remote

micro1 AI

Kansas City, MO โ€ข Remote

$20 - $70/hr

Part-time

Posted 13 days ago


Job description

Job Title: Junior Python Game Developer (Panda3D)


Job Type: Contractor


Location: Remote


Job Summary: 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 โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Leverage your proficiency in Python and C++ to provide insights and feedback on interactive game development tasks.
  2. Utilize the Panda3D engine to review, critique, and suggest improvements on code samples and game logic.
  3. Contribute domain-specific examples to help enhance AI understanding of modern game development workflows.
  4. Analyze and address practical challenges in game rendering, asset management, and gameplay mechanics.
  5. Document and explain decision-making processes in a clear, concise manner for AI training purposes.
  6. Collaborate with a distributed team to deliver high-quality, real-world input that shapes future AI technologies.
  7. Participate in iterative feedback cycles to continuously improve AI learning outcomes.



Required Skills and Qualifications:

  1. Solid hands-on experience with Python programming, especially in game development contexts.
  2. Strong understanding of the Panda3D engine and its practical application in creating interactive 3D environments.
  3. Familiarity with C++ and its integration within game engines.
  4. Proficient in using GitHub for version control, code reviews, and collaboration.
  5. Ability to communicate complex technical concepts clearly and effectively.
  6. Meticulous attention to detail and problem-solving mindset.
  7. Self-motivated and comfortable working independently in a remote setting.



Preferred Qualifications:

  1. Previous experience contributing to open-source projects or AI-related initiatives.
  2. Knowledge of modern software development practices and pipelines in game development.



Additional Info:

This is a unique opportunity for a junior developer to gain experience while supporting the training of advanced AI systems. You'll collaborate with the customer's team and contribute directly to shaping how AI understands and interacts with real-world gaming environments.