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Remote Elearning Testing Jobs in Hawaii (NOW HIRING)

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

GTM Engineer

Honolulu, HI · On-site +1

$99K - $137K/yr

Built-in A/B testing (sequences, subject lines, send times), automated lead enrichment/scoring, and ... Remote candidates must be available during Hawaii Standard Time (HST / UTC-10) business hours, with ...

Know & Grow Your People - Commit to learning and supporting team success. * Build Relationships ... S. Government construction processes (e.g., MILCON, USACE coordination, or similar) * Ability to ...

$50/hr

... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Support emerging AI-enabled use cases (e.g., semantic search, RAG) by helping customers ...

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Support emerging AI-enabled use cases (e.g., semantic search, RAG) by helping customers ...

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Support emerging AI-enabled use cases (e.g., semantic search, RAG) by helping customers ...

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Remote Elearning Testing information

What is remote eLearning testing?

Remote eLearning testing is the process of evaluating online educational platforms, courses, or tools from a distance, often using digital devices and internet connectivity. Testers check that eLearning content works correctly, is accessible to users, and meets quality standards across different devices and browsers. This role may involve both manual testing—where testers interact with the system as end-users—and automated testing using specialized software tools. The goal is to ensure a seamless and effective learning experience for all users, regardless of their location.

What are the key skills and qualifications needed to thrive as a remote eLearning tester?

To thrive as a Remote E-learning Tester, you need a strong understanding of quality assurance processes, attention to detail, and familiarity with e-learning standards, often supported by a background in instructional design or software testing. Proficiency with learning management systems (LMS), test case management tools, and bug tracking software is typically required. Excellent communication, problem-solving ability, and self-motivation are important soft skills for effective remote collaboration and issue reporting. These skills ensure that e-learning content is functional, user-friendly, and meets both educational and technical standards.

What are some common challenges faced by professionals in remote eLearning testing and how can they be addressed?

Remote eLearning testers often encounter challenges such as coordinating with distributed development teams, managing varying time zones, and ensuring consistent test environments. Communication can be more complex when working remotely, making it important to use clear documentation and regular virtual meetings. Staying up-to-date with multiple eLearning platforms and standards also requires continuous learning. Leveraging collaboration tools, maintaining organized records, and proactively reaching out for clarifications can help testers succeed in this environment.

What is the difference between Remote Elearning Testing vs Remote Content Developer?

AspectRemote Elearning TestingRemote Content Developer
Required CredentialsInstructional design, testing certificationsContent creation, instructional design
Work EnvironmentOnline, testing platforms, LMSOnline, content management systems
Industry UsageEducation, corporate training, e-learningEducation, marketing, corporate training
Common Search/ComparisonYesNo

Remote Elearning Testing focuses on evaluating and ensuring the quality of e-learning courses, often involving testing platforms and LMS systems. Remote Content Developers create and design educational content for online platforms. While both roles work within the e-learning industry, they serve different functions: testing versus content creation.

What are popular job titles related to Remote Elearning Testing jobs in Hawaii?

For Remote Elearning Testing jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Remote Elearning Testing jobs in Hawaii look for?

The top searched job categories for Remote Elearning Testing jobs in Hawaii are:

Infographic showing various Remote Elearning Testing job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Honolulu, HI • Remote

$80 - $110/hr

Part-time

Posted 20 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.