2

Remote Delivery Jobs in Driver, VA (NOW HIRING)

Remote Call CenterSales Representative

Virginia Beach, VA · Remote

$13.75 - $17.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service ... We are looking for motivated Remote Call Center Sales Representatives to join our growing team. If ...

Remote Call Center Representative

Virginia Beach, VA · Remote

$13.75 - $17.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service ... We are hiring Remote Call Center Representatives to join our customer support team. This role is ...

Remote Customer Service Agent

Newport News, VA · Remote

$14 - $18.75/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Remote Customer Service Agent

Portsmouth, VA · Remote

$15 - $20/hr

Remote (US-Based) Liveops is seeking independent contractors to provide virtual customer service ... This opportunity offers the flexibility to run your own home-based business while delivering high ...

Showing results 21-40

Remote Delivery information

See Driver, VA salary details

$12

$41

$81

How much do remote delivery jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote delivery in Driver, VA is $41.36, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $54.04 per hour, depending on experience, location, and employer.

What is a remote delivery?

A Remote Delivery job involves coordinating and managing the delivery of products or services from a remote location, often using digital tools and communication platforms. These roles may include tasks such as scheduling deliveries, tracking shipments, communicating with customers and drivers, and resolving any issues that arise during the delivery process—all while working remotely. Remote Delivery jobs are common in industries like logistics, e-commerce, and technology services, allowing employees to perform their duties from home or another off-site location. This setup provides flexibility for both employers and employees, while still ensuring timely and efficient service delivery.

What is the difference between Remote Delivery vs Remote Customer Service Representative?

AspectRemote DeliveryRemote Customer Service Representative
Required CredentialsLogistics, supply chain knowledge, relevant certificationsCommunication skills, customer service training
Work EnvironmentTransport coordination, delivery platforms, logistics softwareCall centers, chat platforms, CRM systems
Employer & Industry UsageLogistics, e-commerce, retailRetail, telecommunications, service industries
Common Search & Comparison IntentUnderstanding delivery roles, logistics jobsCustomer support roles, remote service jobs

Remote Delivery involves coordinating and executing physical product deliveries, requiring logistics knowledge and transportation skills. Remote Customer Service Representatives focus on assisting customers via phone, chat, or email, emphasizing communication and problem-solving skills. While both roles are remote, they serve different functions within their industries, with Remote Delivery centered on logistics and Remote Customer Service on customer support.

What are some common challenges faced by professionals in remote delivery roles, and how can they be effectively managed?

Professionals in Remote Delivery roles often encounter challenges such as coordinating across different time zones, maintaining clear communication with clients and team members, and ensuring project milestones are met without in-person oversight. Successfully navigating these challenges requires strong organizational skills, familiarity with digital collaboration tools, and proactive communication. Building a structured daily routine and setting clear expectations with stakeholders can help maintain productivity and foster strong working relationships, even from a distance.

What are the key skills and qualifications needed to thrive as a remote delivery specialist, and why are they important?

To thrive as a Remote Delivery Specialist, you need strong organizational skills, time management, and a background in logistics or supply chain management, often supported by relevant education or experience. Familiarity with delivery management software, routing tools, and communication platforms like Slack or Zoom is typically required. Excellent communication, problem-solving, and self-motivation are crucial soft skills for coordinating with teams and clients remotely. These capabilities are essential for ensuring timely deliveries, maintaining customer satisfaction, and efficiently managing remote operations.

What are the most commonly searched types of Delivery jobs in Driver, VA?

The most popular types of Delivery jobs in Driver, VA are:

What cities near Driver, VA are hiring for Remote Delivery jobs?

Cities near Driver, VA with the most Remote Delivery job openings:

Infographic showing various Remote Delivery job openings in Driver, VA as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $86,037 per year, or $41.4 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Hampton, VA • 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.