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Remote Ai In Education Jobs in Indiana (NOW HIRING)

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Remote Ai In Education information

What is a remote AI in education specialist?

A Remote AI in Education specialist is a professional who uses artificial intelligence tools and technologies to enhance educational experiences, often while working from a remote location. They may develop or implement AI-powered learning platforms, personalize student learning pathways, automate administrative tasks, and analyze educational data to improve outcomes. This role requires both expertise in AI and a solid understanding of educational best practices. Remote AI in Education specialists collaborate with educators, administrators, and technology teams to integrate AI solutions into schools, universities, or online learning environments.

How does a remote AI in education specialist typically collaborate with educators and IT teams to implement AI-driven solutions?

Remote AI in Education professionals often work closely with teachers, administrators, and IT staff to tailor AI-powered tools for curriculum enhancement and student support. Collaboration usually involves virtual meetings to discuss educational objectives, technical requirements, and feedback on pilot programs. Effective communication and project management skills are essential, as professionals must translate educational needs into technical features while ensuring data privacy and compliance. This collaborative, cross-functional approach helps maximize the impact of AI solutions in diverse learning environments.

What are the key skills and qualifications needed to thrive as a remote AI in education specialist?

To thrive as a Remote AI in Education Specialist, you need expertise in educational technology, machine learning concepts, curriculum design, and a background in education or computer science. Familiarity with AI tools, learning management systems (LMS), and certifications such as Google for Education or relevant AI credentials are typically required. Strong communication, adaptability, and collaboration skills are essential for engaging with diverse stakeholders and supporting remote learners. These skills ensure effective integration of AI solutions, enhance learning outcomes, and support successful adoption in educational environments.

What is the difference between Remote Ai In Education vs Remote Education Data Analyst?

AspectRemote Ai In EducationRemote Education Data Analyst
Required CredentialsBackground in AI, machine learning, education technologyDegree in education, data analysis, statistics
Work EnvironmentOnline, collaborative platforms, educational institutionsRemote data analysis teams, educational organizations
Industry UsageEdTech companies, AI-driven learning platformsSchools, educational research firms, EdTech companies
Common Search/ComparisonFocuses on AI tools in educationFocuses on analyzing educational data

Remote Ai In Education involves developing and implementing AI solutions to enhance learning experiences, requiring expertise in AI and education technology. Remote Education Data Analysts interpret educational data to inform decisions, requiring skills in data analysis and statistics. While both roles support education, they differ in focus: one centers on AI development, the other on data insights.

What are the most commonly searched types of Ai In Education jobs in Indiana?

The most popular types of Ai In Education jobs in Indiana are:

What are popular job titles related to Remote Ai In Education jobs in Indiana?

For Remote Ai In Education jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Ai In Education jobs in Indiana look for?

The top searched job categories for Remote Ai In Education jobs in Indiana are:

What cities in Indiana are hiring for Remote Ai In Education jobs?

Cities in Indiana with the most Remote Ai In Education job openings:

Remote Ai In Education jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

South Bend, IN • Remote

$80 - $110/hr

Part-time

Posted 16 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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