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Amazon Process Assistant Jobs in Missouri (NOW HIRING)

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Amazon Process Assistant information

See Missouri salary details

$13

$23

$45

How much do amazon process assistant jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for amazon process assistant in Missouri is $23.89, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $27.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Process Assistant, and why are they important?

To thrive as an Amazon Process Assistant, you need strong organizational skills, attention to detail, and experience in warehouse operations or logistics, often supported by a high school diploma or equivalent. Familiarity with Amazon's proprietary warehouse management software, handheld scanners, and basic Microsoft Office tools is typically required. Effective communication, leadership, and the ability to work under pressure are crucial soft skills for supporting teams and solving problems on the floor. These skills are essential for ensuring smooth workflow, maintaining productivity, and supporting team efficiency in Amazon's fast-paced fulfillment environment.

How much does an L3 process assistant make at Amazon?

An L3 Process Assistant at Amazon typically earns around $18 to $22 per hour, depending on location and experience. This role involves operating warehouse equipment and following safety protocols in a fast-paced environment.

What is the difference between Amazon Process Assistant vs Amazon Warehouse Associate?

AspectAmazon Process AssistantAmazon Warehouse Associate
ResponsibilitiesAssist in production line setup, monitor processes, ensure safety compliancePick, pack, and ship customer orders, manage inventory
Required SkillsBasic understanding of manufacturing processes, safety awarenessPhysical stamina, attention to detail, ability to operate warehouse equipment
Work EnvironmentManufacturing or fulfillment centers, production linesWarehouse floors, shipping and receiving areas
CertificationsNone typically required, safety training often providedNone typically required, forklift or equipment training may be preferred

Amazon Process Assistants focus on supporting manufacturing and process workflows within Amazon's fulfillment centers, ensuring safety and efficiency. In contrast, Amazon Warehouse Associates handle order fulfillment tasks like picking, packing, and shipping products. Both roles operate in Amazon's fulfillment environment but have different core responsibilities and skill requirements.

What is the role of a process assistant at Amazon?

A process assistant at Amazon supports warehouse operations by assisting with inventory management, order fulfillment, and ensuring safety and efficiency on the production floor. They often operate equipment, follow safety protocols, and work in a team environment to meet productivity goals.

What are Amazon Process Assistants?

Amazon Process Assistants are frontline leaders who support daily operations within Amazon fulfillment centers and warehouses. They help manage workflows, train and coach associates, monitor productivity, and ensure that safety standards are met. Process Assistants act as a bridge between associates and management, assisting with problem-solving and process improvements. Their role is crucial in maintaining efficient and effective fulfillment operations.

How do you become a process assistant at Amazon?

To become a process assistant at Amazon, candidates typically need a high school diploma or equivalent, relevant work experience, and the ability to operate warehouse equipment. The application process involves submitting an online application, completing assessments, and passing a background check and drug screening. Prior experience in logistics or warehouse operations can be advantageous.

What is the salary of a process assistant in Amazon?

The salary of an Amazon Process Assistant typically ranges from $15 to $20 per hour, depending on location and experience. These roles often include shift work, with opportunities for overtime and benefits such as health insurance and paid time off.

What are some common challenges faced by an Amazon Process Assistant and how can they be managed effectively?

Amazon Process Assistants often encounter challenges such as balancing multiple priorities, adapting to fast-paced workflow changes, and supporting large, diverse teams. Effective time management and clear communication are key to managing these demands. Building strong relationships with associates and leadership, being proactive in identifying process bottlenecks, and staying organized with daily task lists can help Process Assistants overcome these challenges and contribute to a smooth operation.
What cities in Missouri are hiring for Amazon Process Assistant jobs? Cities in Missouri with the most Amazon Process Assistant job openings:
Infographic showing various Amazon Process Assistant job openings in Missouri as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Nights. Highlights an 100% In-person job distribution, with an average salary of $49,701 per year, or $23.9 per hour.
Agentic AI, AI & Data Consultant

Agentic AI, AI & Data Consultant

Deloitte

Saint Louis, MO • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 6/6/2026

Work you'll do

You will leverage your deep subject matter knowledge to bring solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users. Working within an engagement team, your responsibilities include, among others:

  • Delivering components of client engagements focused on identifying, designing, and implementing technology business solutions for large companies
  • Leading small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
  • Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
  • Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
  • Maintaining communication with key project stakeholders and decision makers

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 3+ years of experience delivering AI/ML solutions
  • 2+ years of hands-on experience building AI/ML solutions using Python
  • 1+ years of experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) to include:
    • Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads); 
and/or
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment; Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS; 
and/or
GCP: Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)
  • 1+ years experience leading project workstreams and/or project teams
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Prior consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Presentation skills with a high degree of comfort with both large and small audiences
  • Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
  • Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
  • Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture
  • Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development
  • Experience with API design, microservices architecture, and event-driven systems

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 6/6/2026

Work you'll do

You will leverage your deep subject matter knowledge to bring solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users. Working within an engagement team, your responsibilities include, among others:

  • Delivering components of client engagements focused on identifying, designing, and implementing technology business solutions for large companies
  • Leading small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
  • Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
  • Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
  • Maintaining communication with key project stakeholders and decision makers

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 3+ years of experience delivering AI/ML solutions
  • 2+ years of hands-on experience building AI/ML solutions using Python
  • 1+ years of experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) to include:
    • Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads); 
and/or
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment; Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS; 
and/or
GCP: Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)
  • 1+ years experience leading project workstreams and/or project teams
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Prior consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Presentation skills with a high degree of comfort with both large and small audiences
  • Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
  • Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
  • Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture
  • Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development
  • Experience with API design, microservices architecture, and event-driven systems

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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