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Remote Amazon Driver Support Jobs in Ohio (NOW HIRING)

Kobie Marketing

AI Engineer

Columbus, OH · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We understand the importance of work-life balance and support our team with: Flexible Time Off to ...

Siemens

Services Product Architect - REMOTE

Cincinnati, OH · On-site +1

$110K - $221K/yr

Support project/program management activities to control scope, cost, schedule, and quality and in ... Experience with Windows and/or Linux operating system, Amazon Web Services and/or Microsoft Azure ...

Wing Assistant

E-Commerce Specialist (US)

Columbus, OH · Remote

$3.7K/wk

E-Commerce Specialist (Remote) Wing is on the exciting mission of redefining the future of work for ... Amazon & eBay platforms Excellent English communication skills, both written and verbal (at least ...

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All JobsAmazon Driver Support JobsRemote Amazon Driver Support JobsRemote Amazon Driver Support Jobs in Ohio

Remote Amazon Driver Support information

How much does Amazon pay for remote positions?

Amazon remote driver support positions typically pay between $15 and $20 per hour, depending on experience and location. Compensation may also include benefits such as health insurance and paid time off, with schedules often requiring flexibility for customer support tasks.

Does Amazon give remote jobs?

Amazon offers some remote job opportunities, including roles in support, customer service, and technical fields. The availability of remote positions varies by role and location, and candidates typically need relevant skills and experience. Remote jobs at Amazon often require online communication tools and flexible schedules.

What does a Remote Amazon Driver Support do?

A Remote Amazon Driver Support assists Amazon delivery drivers by providing guidance and troubleshooting help through phone, chat, or email. Their responsibilities include answering questions about delivery routes, helping resolve delivery issues, and offering support for technical or procedural problems drivers may encounter. Working remotely, they act as a key resource to ensure drivers can complete their deliveries efficiently and safely. Strong communication skills and knowledge of Amazon’s delivery processes are essential for this role.

What are the most common challenges faced by Remote Amazon Driver Support representatives, and how can they be managed?

Remote Amazon Driver Support representatives often encounter challenges such as addressing urgent driver concerns in real-time, troubleshooting technical issues remotely, and managing high volumes of support requests. To succeed, it's important to develop strong communication skills, stay organized, and use available resources and escalation protocols effectively. Collaboration with dispatch teams and other support agents is key to resolving issues efficiently and maintaining smooth delivery operations.

What is the difference between Remote Amazon Driver Support vs Remote Amazon Customer Service Representative?

AspectRemote Amazon Driver SupportRemote Amazon Customer Service Representative
CredentialsBasic computer skills, Amazon support trainingCustomer service experience, communication skills
Work EnvironmentRemote, support-focused, technical troubleshootingRemote, customer interaction, problem resolution
Industry UsageLogistics, delivery supportRetail, e-commerce customer service
Search & Comparison IntentSupport roles for delivery driversCustomer service roles in Amazon

Remote Amazon Driver Support focuses on assisting delivery drivers with technical and logistical issues, while Remote Amazon Customer Service Representatives handle general customer inquiries. Both roles are remote, require communication skills, but serve different functions within Amazon's operations.

Is Amazon really hiring for remote positions?

Amazon offers remote positions, including roles like Remote Amazon Driver Support, which typically require customer service skills and familiarity with online tools. These positions are part of Amazon's broader remote job opportunities and often involve flexible schedules and virtual work environments.

What are the key skills and qualifications needed to thrive as a Remote Amazon Driver Support, and why are they important?

To thrive as a Remote Amazon Driver Support, you need strong customer service skills, problem-solving abilities, and familiarity with Amazon's logistics processes, often supported by a high school diploma or equivalent. Proficiency with communication platforms, ticketing systems, and basic CRM software is typically required. Excellent verbal communication, patience, and adaptability are essential soft skills for resolving driver concerns efficiently. These skills ensure accurate support, quick problem resolution, and a seamless delivery experience for both drivers and customers.

Will Amazon pay you $28 an hour to work from home?

Remote Amazon Driver Support roles typically do not pay $28 an hour; pay rates vary based on location, experience, and specific job responsibilities. These positions often involve customer service, technical support, or administrative tasks and may require specific skills or certifications. It is advisable to check Amazon's official job postings for accurate and current pay information.
What are the most commonly searched types of Amazon Driver Support jobs in Ohio? The most popular types of Amazon Driver Support jobs in Ohio are:
What are popular job titles related to Remote Amazon Driver Support jobs in Ohio? For Remote Amazon Driver Support jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Driver Support jobs in Ohio look for? The top searched job categories for Remote Amazon Driver Support jobs in Ohio are:
What cities in Ohio are hiring for Remote Amazon Driver Support jobs? Cities in Ohio with the most Remote Amazon Driver Support job openings:
Remote Amazon Driver Support jobs near you
AI Engineer

AI Engineer

Kobie Marketing

Columbus, OH • Remote

Full-time

Posted 4 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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