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Remote Coding Paid Training Jobs in Portland, OR

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Remote Coding Paid Training information

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How much do remote coding paid training jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote coding paid training in Portland, OR is $22.80, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $24.23 per hour, depending on experience, location, and employer.

What is remote coding paid training?

Remote coding paid training refers to online programs that teach individuals medical coding skills while compensating them during the training period. These programs are designed to prepare participants for certification and entry-level coding jobs in healthcare, all from the comfort of their own home. Trainees typically learn how to assign standardized codes to diagnoses and procedures for billing and insurance purposes. Paid training can be offered by healthcare employers, staffing agencies, or specialized training providers, and may include both classroom instruction and practical experience.

What can I expect from the daily structure and support during a remote coding paid training program?

During a remote coding paid training program, participants typically follow a structured schedule that includes live virtual lessons, self-paced assignments, and regular check-ins with mentors or instructors. You can expect collaborative projects with fellow trainees, frequent code reviews, and opportunities to ask questions in real time. Support is usually available through forums, chat platforms, and scheduled one-on-one sessions, helping ensure you stay on track and address any challenges. This environment is designed to closely simulate real-world remote work, fostering both technical skills and effective communication.

What are the key skills and qualifications needed to thrive in a remote coding paid training program, and why are they important?

To thrive in a Remote Coding Paid Training program, you need a foundational understanding of programming concepts, problem-solving abilities, and a high school diploma or equivalent. Familiarity with web-based learning platforms, basic coding environments (such as Visual Studio Code), and possibly introductory certifications like Codecademy or Coursera certificates are helpful. Self-motivation, time management, and strong communication skills help trainees excel in remote, self-paced learning environments. These skills are critical for effective learning, adapting to virtual collaboration, and successfully transitioning into entry-level coding roles.

What are the most commonly searched types of Coding Paid Training jobs in Portland, OR?

The most popular types of Coding Paid Training jobs in Portland, OR are:

What are popular job titles related to Remote Coding Paid Training jobs in Portland, OR?

For Remote Coding Paid Training jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Coding Paid Training jobs in Portland, OR look for?

The top searched job categories for Remote Coding Paid Training jobs in Portland, OR are:

Remote Coding Paid Training jobs near you
Infographic showing various Remote Coding Paid Training job openings in Portland, OR as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $47,430 per year, or $22.8 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Beaverton, OR • Remote

$80 - $110/hr

Part-time

Posted 29 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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