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Amazon Remote Jobs in Florida (NOW HIRING)

Kobie Marketing

AI Engineer

Saint Petersburg, FL · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ...

Acceleration Partners

VP of Sales

Tampa, FL · Remote

The SVP of Sales position is a remote, work-from-home role, as are all positions at Acceleration ... Serving over 200 brands--including household names like Amazon, Apple, Target, Google, Marriott ...

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Amazon Remote information

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How much do amazon remote jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for amazon remote in Florida is $26.17, according to ZipRecruiter salary data. Most workers in this role earn between $13.79 and $36.38 per hour, depending on experience, location, and employer.

What are Amazon remote jobs?

Amazon remote jobs are positions offered by Amazon that allow employees to work from home or another location outside of a traditional Amazon office. These jobs can be found in various departments, including customer service, human resources, software development, and more. Remote roles offer flexibility and the opportunity to work for Amazon without needing to relocate. Candidates typically need a reliable internet connection, a suitable workspace, and may need to reside in specific locations depending on the job requirements.

Does Amazon allow fully remote work?

Amazon offers a variety of remote job opportunities, including fully remote roles in customer service, technical support, and corporate positions. The availability of fully remote work depends on the specific role and department, with some positions requiring on-site presence or hybrid arrangements. Candidates should review individual job postings for location and remote work options.

Is Amazon offering remote jobs?

Yes, Amazon offers remote job opportunities across various roles, including customer service, technical support, and corporate positions. These jobs often require strong communication skills and may involve flexible schedules or specific technical requirements. Remote positions are available in multiple regions, depending on the role and location policies.

What are the main challenges of working in a remote position at Amazon and how does the company support remote employees?

One of the main challenges of working remotely at Amazon is staying connected with your team and maintaining effective communication across different time zones or departments. Amazon addresses this by providing robust collaboration tools, regular virtual meetings, and clear documentation processes. Additionally, remote employees have access to training resources, mentorship programs, and virtual events to foster professional growth and inclusion. The company encourages proactive communication and offers various support channels to help remote workers balance productivity and well-being.

What are the key skills and qualifications needed to thrive as an Amazon remote employee?

To thrive as an Amazon Remote employee, you typically need strong problem-solving abilities, time management, and relevant experience in your field, often supported by a high school diploma or higher. Familiarity with Amazon's internal tools, customer service platforms, and collaboration software such as Amazon Connect and Slack is often required, depending on the role. Excellent communication, self-motivation, and the ability to work independently are critical soft skills for remote success. These skills and qualifications ensure productivity, effective teamwork, and high-quality service delivery in a virtual work environment.

What is the difference between Amazon Remote vs Amazon Customer Service Associate?

AspectAmazon RemoteAmazon Customer Service Associate
Required CredentialsHigh school diploma or equivalent; sometimes college experienceHigh school diploma or equivalent
Work EnvironmentRemote, home-basedRemote, home-based or call center
Employer & Industry UsageAmazon's remote workforce across various rolesAmazon's customer support teams
Common Search & ComparisonYesYes

Amazon Remote roles typically involve a variety of positions that can be performed from home, often requiring specific skills or experience. Amazon Customer Service Associates focus specifically on customer support, handling inquiries and resolving issues remotely or in call centers. Both roles are part of Amazon's remote workforce, but they differ in responsibilities and sometimes in required credentials.

What are the most commonly searched types of Amazon jobs in Florida? The most popular types of Amazon jobs in Florida are:
What are popular job titles related to Amazon Remote jobs in Florida? For Amazon Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Amazon Remote jobs in Florida look for? The top searched job categories for Amazon Remote jobs in Florida are:
What cities in Florida are hiring for Amazon Remote jobs? Cities in Florida with the most Amazon Remote job openings:
Amazon Remote jobs near you
Infographic showing various Amazon Remote job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $54,432 per year, or $26.2 per hour.

AI Engineer

Kobie Marketing

Saint Petersburg, FL • Remote

Full-time

Re-posted 28 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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