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Remote Lms Jobs in Spokane, WA (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Spokane, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help ...

micro1 AI

AI Training Specialist - Chemistry

Spokane, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help ...

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Remote Lms information

See Spokane, WA salary details

$18

$37

$57

How much do remote lms jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote lms in Spokane, WA is $37.70, according to ZipRecruiter salary data. Most workers in this role earn between $28.46 and $47.40 per hour, depending on experience, location, and employer.

What are typical daily responsibilities for a remote LMS specialist?

As a Remote LMS Specialist, your typical day involves managing the learning management system, troubleshooting user issues, and assisting instructors with course setup and content updates. You may also coordinate with HR or training departments to support onboarding and compliance training, as well as analyze platform usage data to recommend improvements. Regular communication with educators, IT teams, and learners is common, ensuring everyone can effectively use the LMS. This role is dynamic and requires adaptability as priorities can shift based on user needs, platform updates, or new e-learning initiatives.

What are the key skills and qualifications needed to thrive in the remote LMS position, and why are they important?

To thrive as a Remote LMS (Learning Management System) Specialist, you need expertise in administering and supporting e-learning platforms, a background in instructional technology or education, and strong analytical skills. Familiarity with common LMS platforms such as Moodle, Blackboard, or Canvas, and certifications in instructional design or learning technologies are often required. Excellent communication, problem-solving abilities, and project management skills help you stand out when interacting with remote teams and end-users. These skills are essential to ensure efficient platform management, effective user support, and the delivery of high-quality online learning experiences.

What is a Remote LMS?

A Remote LMS (Learning Management System) job involves managing, developing, or supporting an online learning platform from a remote location. Responsibilities may include course creation, user support, system administration, content management, and integrating learning technologies. These roles are common in education, corporate training, and e-learning industries, requiring skills in LMS platforms like Moodle, Blackboard, or TalentLMS. Remote LMS jobs allow flexibility while supporting online learning initiatives.

What are popular job titles related to Remote Lms jobs in Spokane, WA? For Remote Lms jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Remote Lms jobs in Spokane, WA look for? The top searched job categories for Remote Lms jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Remote Lms jobs? Cities near Spokane, WA with the most Remote Lms job openings:
Remote Lms jobs near you
Infographic showing various Remote Lms job openings in Spokane, WA as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,408 per year, or $37.7 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Spokane Valley, WA • Remote

$80 - $110/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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