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Learning Analytics Remote Jobs in Chicago, IL (NOW HIRING)

YO AI Labs

Medical Coder - Remote

Chicago, IL · Remote

$50 - $80/hr

Analyze clinical documentation and identify coding-related ambiguities or inconsistencies ... Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

YO AI Labs

SolidWorks Expert - Remote

Chicago, IL · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ...

Walgreens

Analyst Senior Compensation - Remote

Deerfield, IL · On-site +1

$71K - $114K/yr

... learning and reading, and general professional curiosity. * May coach, mentor, guide, and provide ... S analytics as they pertain to compensation functions. * Knowledge of basic accounting and ...

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How much do learning analytics remote jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for learning analytics remote in Chicago, IL is $40.71, according to ZipRecruiter salary data. Most workers in this role earn between $29.71 and $44.57 per hour, depending on experience, location, and employer.

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 are the most commonly searched types of Learning Analytics jobs in Chicago, IL?

The most popular types of Learning Analytics jobs in Chicago, IL are:

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For Learning Analytics Remote jobs in Chicago, IL, the most frequently searched job titles are:

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The top searched job categories for Learning Analytics Remote jobs in Chicago, IL are:

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Learning Analytics Remote jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Naperville, IL • Remote

$70 - $90/hr

Part-time

Posted 19 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.

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