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Container Tracking Jobs in Houston, TX (NOW HIRING)

Build, audit, and maintain tracking infrastructure: pixels, GTM containers, GA4 events, Shopify feed reports, and UTM hygiene across every campaign * Manage manual bidding strategies where ...

Material Handler

Houston, TX · On-site

$16 - $19.25/hr

... tracking inventory levels. A successful Warehouse Technician should be able to fulfill the ... Assemble cardboard or wooden containers or select preassembled containers. * Insert items into ...

... tracking inventory levels. A successful Warehouse Technician should be able to fulfill the ... Assemble cardboard or wooden containers or select preassembled containers. * Insert items into ...

Material Handler

Houston, TX · On-site

$16 - $20/hr

... tracking inventory levels. A successful Warehouse Technician should be able to fulfill the ... Assemble cardboard or wooden containers or select preassembled containers. * Insert items into ...

Packer

Houston, TX

$13 - $15.50/hr

Organize packed items within shipping containers to maximize space utilization and minimize movement during transit. * Label packages accurately and legibly for easy identification and tracking.

Warehouse Operator

Houston, TX · On-site

$18.90/hr

Pack shipping containers and product bags according to order specifications. * Ensure accurate ... Coordinate and document shipments, including preparing Bills of Lading and tracking records.

Pack shipping containers and product bags according to order specifications. * Ensure accurate ... Coordinate and document shipments, including preparing Bills of Lading and tracking records.

Maintenance Planner and Scheduler

La Porte, TX · On-site

$55K - $67K/yr

Work with CMMS Coordinator and Fleet Manager to manage the asset tagging and tracking program ... Maintenance activities apply to buildings, infrastructure, grounds, machinery, container handling ...

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Container Tracking information

See Houston, TX salary details

$16

$23

$33

How much do container tracking jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for container tracking in Houston, TX is $23.17, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $25.24 per hour, depending on experience, location, and employer.

What is the difference between Container Tracking vs Freight Coordinator?

AspectContainer TrackingFreight Coordinator
CredentialsLogistics or supply chain certifications often preferredLogistics, supply chain, or transportation certifications
Work EnvironmentMonitoring shipments, using tracking software, coordinating with carriersPlanning, scheduling, communicating with clients and carriers
Industry UsageUsed across shipping, logistics, and transportation companiesUsed in freight forwarding, shipping companies, and logistics firms
Search & Comparison IntentFocuses on shipment status and location trackingFocuses on coordinating and managing freight shipments

Container Tracking primarily involves monitoring the location and status of shipping containers using tracking systems. Freight Coordinators handle the planning, scheduling, and communication related to freight shipments. While both roles are integral to logistics, Container Tracking emphasizes real-time shipment monitoring, whereas Freight Coordinators focus on overall shipment management and coordination.

What are some common challenges faced in a Container Tracking role, and how can they be effectively managed?

Professionals in Container Tracking often encounter challenges such as dealing with real-time shipment delays, discrepancies in data from various tracking systems, and coordinating with multiple stakeholders across different time zones. To manage these effectively, it's important to maintain clear communication with shipping lines, port authorities, and logistics partners, and to leverage robust tracking software that integrates data from multiple sources. Staying organized and proactive in addressing potential issues can significantly minimize disruptions and ensure timely cargo delivery.

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

To thrive in Container Tracking, you need strong organizational skills, attention to detail, and a background in logistics or supply chain management, often supported by relevant certifications. Familiarity with transportation management systems (TMS), container tracking software, and databases is typically required. Effective communication, problem-solving abilities, and adaptability are crucial soft skills for coordinating with carriers and resolving shipment issues. These skills ensure accurate monitoring, timely delivery, and efficient resolution of delays or discrepancies in the shipping process.

What is container tracking?

Container tracking refers to the process of monitoring the location and status of shipping containers as they move through various stages of transport, such as by sea, rail, or truck. It uses technologies like GPS, RFID, and online tracking platforms to provide real-time updates on container positions and estimated arrival times. This helps shipping companies, logistics providers, and customers keep track of their shipments, improve supply chain visibility, and manage logistics more efficiently.
What are popular job titles related to Container Tracking jobs in Houston, TX? For Container Tracking jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Container Tracking jobs in Houston, TX look for? The top searched job categories for Container Tracking jobs in Houston, TX are:
What cities near Houston, TX are hiring for Container Tracking jobs? Cities near Houston, TX with the most Container Tracking job openings:

Software Engineer, Machine Learning Infrastructure

Bot Auto

Houston, TX • On-site

$165K - $195K/yr

Full-time

Posted yesterday


Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with cutting-edge autonomous trucks. They are seeking a highly skilled Software Engineer to design, develop, and scale machine learning infrastructure, focusing on model evaluation, training workflows, and data management.
Responsibilities:
• Architect and own a scalable, end-to-end model evaluation platform for perception and prediction models central to autonomous driving. Define metrics, design for scale, and make results actionable for researchers.
• Partner with research scientists to optimize and scale distributed training workflows. Integrate experiment tracking and reproducibility into the model lifecycle from day one.
• Design and maintain a versioned, high-quality training data store that accelerates model development and supports rapid iteration.
• Build automated pipelines spanning data preparation, model training, validation, and deployment — enabling fast experimentation and reproducible outcomes.
• Contribute to tooling and infrastructure that powers high-throughput, high-accuracy data annotation at scale.
• Develop production ML services that treat models as products — with reliability, observability, and continuous improvement built in.
• Maintain and evolve a robust data storage and access layer (S3 data lake, Delta Lake) underpinning annotation, evaluation, and training workflows.
• Build scalable, reliable data collection pipelines supporting diverse vehicle dispatch missions.
• Develop foundational services and packages that provide clean, performant access to autonomous driving data across the stack.
Qualifications:
Required:
• Educational Background: Bachelor's or Master's in Computer Science, or equivalent practical experience.
• Strong Programming Skills: Strong proficiency in Python; working knowledge of C++
• ML/DL Infrastructure Experience — Demonstrated hands-on experience building or scaling at least one of the following in a production environment: Evaluation platforms — automated model benchmarking, metric computation, and regression tracking across model versions. Training infrastructure — distributed training pipelines, experiment tracking, and model lifecycle management (e.g. W&B, MLflow, ClearML). Dataset curation & feature stores — versioned dataset management, data lineage, and tooling for high-quality training data at scale. Annotation platforms — tooling or pipelines that support high-throughput, high-accuracy labeling workflows.
• Distributed Systems — Strong experience with distributed computing and container orchestration — Kubernetes, Spark, or comparable frameworks.
• Ability to operate independently: scope ambiguous problems, make sound architecture decisions, and drive them to completion.
Preferred:
• C++ experience in performance-sensitive or safety-critical applications
• Full-stack service development experience.
• Prior work in autonomous driving or robotics.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.