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Remote Entry Level Training Provided Jobs in Minnesota

Zuzick & Associates

Our company is looking to add multiple customer service positions to our growing team of remote ... Full training provided * 100% Virtual Work from Home * Career growth and advancement opportunities

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Remote Entry Level Training Provided information

What can I expect from the training process in a remote entry level position?

For remote entry-level roles where training is provided, you can typically expect a structured onboarding process that includes virtual workshops, online modules, and regular check-ins with trainers or supervisors. Training often covers company policies, role-specific tasks, and the use of digital tools required for remote collaboration. Support is usually available through chat, email, or scheduled video calls, and you're encouraged to ask questions as you learn. Being proactive and engaging with the training materials helps ensure a smooth transition into your new role.

What is a remote entry level job with training provided?

Remote entry level jobs with training provided are positions that allow employees to work from home or another location outside of a traditional office, typically requiring little to no prior experience. Employers offer training programs to help new hires learn the necessary skills and job responsibilities. These roles are ideal for individuals starting their careers or changing fields, as they provide guidance and support while allowing the flexibility of remote work. Common examples include customer service representatives, data entry clerks, and sales associates. Training may be delivered online, through video modules, live sessions, or mentorship.

What is the difference between Remote Entry Level Training Provided vs Remote Customer Service Representative?

AspectRemote Entry Level Training ProvidedRemote Customer Service Representative
Required CredentialsHigh school diploma or equivalent; training provided on the jobHigh school diploma or equivalent; training often provided by employer
Work EnvironmentHome-based, flexible hours, entry-levelHome-based, customer-focused, often shift-based
Employer & Industry UsageVarious industries, including tech, retail, healthcareCustomer service across multiple sectors like retail, telecom, finance

Remote Entry Level Training Provided roles focus on onboarding and training, making them suitable for beginners. Remote Customer Service Representatives handle customer inquiries and support, often requiring similar credentials but with a focus on communication skills. Both roles are home-based and entry-level, but their primary functions differ slightly in industry application and daily tasks.

What are the key skills and qualifications needed to thrive in a remote entry level position with training provided, and why are they important?

To thrive in a remote entry-level position where training is provided, you generally need a high school diploma or equivalent, basic computer literacy, and a willingness to learn. Familiarity with common office software (such as Microsoft Office or Google Workspace) and communication tools (like Zoom or Slack) is often important. Strong self-motivation, time management, and effective communication skills help you excel in a remote environment. These abilities enable you to adapt quickly, stay productive, and collaborate effectively while working independently.

What are popular job titles related to Remote Entry Level Training Provided jobs in Minnesota?

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What job categories do people searching Remote Entry Level Training Provided jobs in Minnesota look for?

The top searched job categories for Remote Entry Level Training Provided jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Entry Level Training Provided jobs?

Cities in Minnesota with the most Remote Entry Level Training Provided job openings:

Remote Entry Level Training Provided jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Minneapolis, MN • Remote

$80 - $110/hr

Part-time

Posted 14 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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