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Remote Container Logistics Jobs in Washington, DC

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Remote Container Logistics information

See Washington, DC salary details

$11

$25

$43

How much do remote container logistics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote container logistics in Washington, DC is $25.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $26.97 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote container logistics, and how can they be addressed?

One of the main challenges in remote container logistics is coordinating shipments and tracking containers across multiple time zones and locations without direct, on-the-ground oversight. Communication with global partners and clients can sometimes be delayed due to time differences and digital barriers. To address these issues, professionals often rely on advanced logistics software, real-time tracking systems, and clear, frequent communication protocols with their teams. Building strong relationships with local agents and staying agile in problem-solving are also essential for overcoming unexpected disruptions in the supply chain.

What are the key skills and qualifications needed to thrive in Remote Container Logistics, and why are they important?

To thrive in Remote Container Logistics, you need strong organizational skills, knowledge of supply chain management, and familiarity with international shipping regulations, often supported by a degree in logistics or a related field. Experience with transportation management systems (TMS), container tracking software, and digital documentation platforms is typically required. Excellent problem-solving, communication, and multitasking abilities help professionals manage complex logistics remotely and coordinate with global partners. These skills ensure efficient movement of goods, minimize delays, and maintain seamless supply chain operations across long distances.

What is remote container logistics?

Remote container logistics refers to the management and coordination of shipping containers and their movement across the supply chain using digital tools and remote communication. This job typically involves tracking container locations, arranging shipments, communicating with carriers and clients, and resolving issues from a remote or home-based setting. Professionals in this field use specialized software to optimize routes, reduce costs, and ensure timely delivery, all while collaborating with global partners without being physically present at ports or warehouses.

What is the difference between Remote Container Logistics vs Remote Freight Coordinator?

AspectRemote Container LogisticsRemote Freight Coordinator
CertificationsLogistics or supply chain certifications often preferredFreight forwarding or logistics certifications beneficial
Work EnvironmentManaging container shipments, coordinating with ports and carriers remotelyOverseeing freight shipments, communicating with clients and carriers remotely
Industry UsageCommon in shipping, import/export, supply chain managementCommon in freight forwarding, shipping agencies, logistics firms

Remote Container Logistics involves managing container shipments and coordinating with ports and carriers, focusing on container-specific logistics. Remote Freight Coordinators handle overall freight shipments, liaising with clients and carriers. Both roles require similar certifications and work environments, but they differ in scope and focus within the logistics industry.

What are popular job titles related to Remote Container Logistics jobs in Washington, DC? For Remote Container Logistics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Container Logistics jobs in Washington, DC look for? The top searched job categories for Remote Container Logistics jobs in Washington, DC are:
Remote Container Logistics jobs near you
Infographic showing various Remote Container Logistics job openings in Washington, DC as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,031 per year, or $25 per hour.
AI/ML Engineer - ACG / AEA

AI/ML Engineer - ACG / AEA

Connected Logistics

Springfield, VA • Remote

$155K - $165K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Description

Remote

Contingent Contract Award

6 month opportunity 

Springfield, VA


Connected Logistics is seeking an AI/ML Engineer to build and integrate machine learning components into enterprise workflows. The focus is on implementing models, RAG pipelines, and supporting services that enable automation, classification, retrieval, and intelligent decision support. Ideally, the engineer should have prior successes building and deploying RAG + ML services in production. This opportunity is expected to last for six (6) months with travel to Washington, DC.


Key Responsibilities:

  • Develop ML models and supporting services for classification, clustering, similarity search, and prediction.
  • Implement RAG pipelines: document ingestion, embedding generation, vector indexing, and retrieval tuning.
  • Build APIs and microservices to expose model capabilities to enterprise systems.
  • Integrate ML components into existing DevSecOps pipelines (Azure DevOps, CI/CD workflows).
  • Implement duplicate detection, ticket routing, SLA prediction, and root-cause assist features.
  • Optimize model performance for latency, throughput, and accuracy.
  • Conduct model evaluation, error analysis, and iterative tuning.
  • Work with Data Engineer to align data pipelines with model input requirements.
  • Ensure outputs are explainable, auditable, and compliant with governance controls.

Requirements

  • Minimum 10 years of experience in AI/ML engineering, software development, or data science.
  • Master's degree required in Computer Science, Engineering, or related field.
  • Must have an Active Public Trust clearance or higher.
  • Strong experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
  • Experience with embeddings, vector similarity search, and retrieval systems.
  • Experience building and deploying APIs or microservices for ML inference.
  • Hands-on experience with AWS and/or Azure environments.
  • Experience integrating into CI/CD pipelines and production systems.

Must-Have Skill Sets (Technical + Methodologies)

RAG Implementation (hands-on build experience)

  • Document ingestion + chunking strategies
  • Embedding generation and storage
  • Vector similarity search and retrieval optimization

  Machine Learning Model Development

  • Classification, clustering, and ranking models
  • Feature engineering and dataset preparation
  • Model tuning and evaluation

LLM Application Development

  • Prompt construction and chaining
  • Output validation and structured responses
  • Integration of LLMs into workflows (not just experimentation)

API and Service Development

  • RESTful API design and implementation
  • Serving ML models in production (FastAPI, Flask, etc.)
  • Stateless service design

CI/CD for ML Systems

  • Model deployment pipelines
  • Automated testing and validation before release
  • Version control for code + models

Cloud Deployment

  • Running ML workloads in AWS or Azure
  • Containerization (Docker)
  • Basic orchestration patterns (serverless or container-based)

Search and Similarity Systems

  • Embeddings + cosine similarity / ANN search
  • Duplicate detection patterns
  • Ranking and scoring logic

Performance Optimization

  • Latency reduction for inference
  • Efficient batching / caching strategies
  • Memory and compute-tuning

Total Rewards Statement:


We believe in fairness and clarity throughout our hiring process. The anticipated salary range for this position is $155,000.00 to $165,000.00 good faith range based on factors such as your experience, geographic location, and any applicable contractual requirements, and may vary slightly.


Beyond salary, we provide a robust benefits package and encourage ongoing professional development, because your growth and well-being matter to us. We're excited to support you in building a rewarding career with us!


Connected Logistics respects the need for confidentiality for all applicants.


Connected Logistics offers an excellent benefits package that includes health, dental, vision, life, and disability insurance, a great 401(k) package, and generous Paid Time Off.


EOE/Disability/Veterans

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