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Learning Analytics Remote Jobs in Seattle, WA (NOW HIRING)

AI Data Science Expert - Remote

Seattle, WA ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Medical Coder - Remote

Seattle, WA ยท 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

Medical Coder - Remote

Seattle, WA ยท 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

Management and Budget Analyst

Tacoma, WA ยท On-site +1

$91K - $128K/yr

Tacoma, WA Job Type: Non-Classified Remote Employment: Flexible/Hybrid Job Number: P0770-26 ... Analysts also demonstrate resilience by embracing challenges, learning from setbacks, and applying ...

SolidWorks Expert - Remote

Seattle, WA ยท 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 ...

Showing results 21-40

Learning Analytics Remote information

See Seattle, WA salary details

$25

$44

$69

How much do learning analytics remote jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for learning analytics remote in Seattle, WA is $44.97, according to ZipRecruiter salary data. Most workers in this role earn between $32.84 and $49.23 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.
Infographic showing various Learning Analytics Remote job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $93,538 per year, or $45 per hour.

AI Data Science Expert - Remote

YO AI Labs

Seattle, WA โ€ข Remote

$100 - $200/hr

Part-time

Posted 10 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.