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Remote Remote Learning Development Jobs in Windsor Mill, MD

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How much do remote remote learning development jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote remote learning development in Windsor Mill, MD is $38.22, according to ZipRecruiter salary data. Most workers in this role earn between $26.39 and $55.19 per hour, depending on experience, location, and employer.

What cities near Windsor Mill, MD are hiring for Remote Remote Learning Development jobs?

Cities near Windsor Mill, MD with the most Remote Remote Learning Development job openings:

Remote Remote Learning Development jobs near you
Infographic showing various Remote Remote Learning Development job openings in Windsor Mill, MD as of June 2026, with employment types broken down into 1% As Needed, 56% Full Time, 38% Part Time, 1% Temporary, and 4% Contract. Highlights an 52% Physical, 3% Hybrid, and 45% Remote job distribution, with an average salary of $79,489 per year, or $38.2 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Baltimore, MD • Remote

$90 - $120/hr

Part-time

Posted 21 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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