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Remote Coding Training Jobs in Alabama (NOW HIRING)

Junior Software Developer

Huntsville, AL · On-site +1

$66K - $85K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Junior Software Developer ... You will support the technical evolution of mission-critical warfighter training and planning tools.

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Remote Coding Training information

What is the difference between Remote Coding Training vs Remote Web Developer?

AspectRemote Coding TrainingRemote Web Developer
Required CredentialsNone or beginner-friendly certificationsProficiency in coding languages, portfolio, possibly certifications
Work EnvironmentOnline courses, self-paced learning, virtual classroomsRemote work for companies, freelance projects, client sites
Industry UsageTraining programs, educational platforms, bootcampsTech companies, startups, freelance web development
Search & Comparison IntentLearning pathways, beginner training, coding coursesJob opportunities, remote work options, skill requirements

Remote Coding Training focuses on teaching foundational coding skills through online courses and bootcamps, preparing learners for roles like remote web development. In contrast, a Remote Web Developer applies those skills in real-world projects, working for companies or clients remotely. While training provides the knowledge, web development involves practical application and job execution.

What are the most commonly searched types of Coding Training jobs in Alabama?

The most popular types of Coding Training jobs in Alabama are:

What job categories do people searching Remote Coding Training jobs in Alabama look for?

The top searched job categories for Remote Coding Training jobs in Alabama are:

Infographic showing various Remote Coding Training job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Mobile, AL • 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.