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Amazon Model Jobs in Missouri (NOW HIRING)

Kobie Marketing

AI Engineer

Saint Louis, MO · On-site

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Fluency in writing and reading SQL, as well as understanding semantic models. * Familiarity with ...

247Hire

Oracle Senior Software Engineer

California, MO · On-site

$120 - $160/hr

Ability to develop a deep understanding of the television production data model * Ability to ... Experience using AWS EC2, RDS and Amazon Linux * Experience with SAP financials * Experience ...

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure. Must have a strong understanding of data modeling in both Remote Procedure Call ...

Sunco Lighting, Inc.

Demand Planner

California, MO · On-site

$100 - $120/hr

... Amazon (FBA/FBM), retail, wholesale, marketplace, and direct-to-consumer channels. You will ... The ideal candidate has experience building and managing forecast models, translating complex data ...

Epitec, Inc.

Systems Engineer

Wentzville, MO · On-site

Company Description Automotive Industry Must be intimately familiar with modeling and analysis ... Experience in virtual and cloud based technologies that VMWare, Xen, VirtualBox, Amazon EC2 and ...

Perficient

Lead Data Scientist

Saint Louis, MO · On-site

Experience with Amazon SageMaker for model development, training, and deployment. * Experience using dbt for data transformation, modeling, and analytics engineering. * Experience working in health ...

Cigna

Architecture Senior Advisor

Saint Louis, MO · Remote

$65.50 - $87.50/hr

Review existing data models to understand the current environment and recommend changes to optimize ... Relational databases, NoSQL, data stores, cloud technology, Spark, Amazon Web Services (AWS); and ...

Cigna

Architecture Senior Advisor

Saint Louis, MO · Remote

$65.50 - $87.50/hr

... models to modernize and transform our company's Reporting & Analytics applications ... Amazon Web Services (AWS); and • Using: SQL and Erwin. If you will be working at home ...

Perficient, Inc.

Lead Data Scientist

Saint Louis, MO · On-site

Experience with Amazon SageMaker for model development, training, and deployment. * Experience using dbt for data transformation, modeling, and analytics engineering. * Experience working in health ...

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Showing results 21-40

All JobsAmazon Model JobsAmazon Model Jobs in Missouri

Amazon Model information

See Missouri salary details

$46.9K

$97.7K

$133.7K

How much do amazon model jobs pay per year?

As of Sep 3, 2026, the average yearly pay for amazon model in Missouri is $97,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $117,200.00 per year, depending on experience, location, and employer.

What is an Amazon model?

An Amazon Model job typically involves modeling clothing, accessories, or other products for Amazon's e-commerce platform. Models may participate in photoshoots or video productions to showcase items for product listings, advertisements, or marketing campaigns. These roles can be freelance, contract, or agency-based, depending on the specific project. Amazon collaborates with modeling agencies and independent models to ensure diverse representation.

What does an Amazon model do?

As an Amazon Model, your day often consists of attending scheduled photoshoots in a studio or on location, where you'll model a variety of products ranging from clothing and accessories to electronics or home goods. You may be expected to work closely with photographers, stylists, and brand representatives to showcase items in a way that appeals to online shoppers. Flexibility is important, as each project may have different posing styles or time frames, and quick wardrobe or product changes are common. Consistent professionalism, punctuality, and readiness to take direction contribute to successful shoots and may lead to more frequent bookings and long-term collaborations with brands.

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

To thrive as an Amazon Model, you need strong posing abilities, physical fitness, and an understanding of e-commerce fashion or product modeling, often supported by a professional portfolio. Experience with photography equipment, lighting setups, and digital style boards is beneficial, while some roles may require familiarity with promotional or live-streaming tools. Confidence, adaptability, punctuality, and effective communication are key soft skills for working with creative teams and diverse products. These skills are vital for delivering high-quality images or videos that meet brand standards and help drive online sales.

How do you get hired as an Amazon Model?

To get hired as an Amazon Model, candidates typically need to submit a portfolio or photos that showcase their appearance and style, often through modeling agencies or online platforms. Some roles may require experience in fashion or commercial modeling, along with the ability to follow specific guidelines for product representation. Availability for flexible schedules and good communication skills are also important for success in this role.

What are popular job titles related to Amazon Model jobs in Missouri?

For Amazon Model jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Amazon Model jobs in Missouri look for?

The top searched job categories for Amazon Model jobs in Missouri are:

Amazon Model jobs near you
Infographic showing various Amazon Model job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $97,708 per year, or $47 per hour.

AI Engineer

Kobie Marketing

Saint Louis, MO • On-site

Full-time

Re-posted 23 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. 
 
Travel Requirements:
As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances our culture. While travel requirements vary by role, periodic travel may be required to support business objectives, team collaboration, customer engagements, training, and company events. Candidates should be able and willing to travel as needed to fulfill the responsibilities of the 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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