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Remote Barcode Scanning Jobs in California (NOW HIRING)

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing ... hybrid or remote role with periodic trips to HQ in Mountain View, CA. Must Haves * 2-3 years ...

Corvus Robotics

Senior Software Engineer

Mountain View, CA · On-site +1

$170K - $230K/yr

Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

All JobsRemote Barcode Scanning JobsRemote Barcode Scanning Jobs in California

Remote Barcode Scanning information

What are the key skills and qualifications needed to thrive as a Remote Barcode Scanning Specialist, and why are they important?

To excel as a Remote Barcode Scanning Specialist, attention to detail, accuracy, and basic computer literacy are essential, often coupled with a high school diploma or equivalent. Familiarity with barcode scanning devices, inventory management software, and cloud-based data entry platforms is typically required. Strong organizational skills, reliability, and effective communication set top performers apart in this role. These skills ensure efficient, error-free data processing and seamless coordination with distributed teams or supply chains.

What is remote barcode scanning?

Remote barcode scanning is the process of using digital tools, such as mobile apps or online platforms, to scan and process barcodes from a distance, without needing to be physically present at the location of the items. This role typically involves using a smartphone, tablet, or a computer with a webcam to scan barcodes for inventory management, data entry, or product verification. Remote barcode scanning is commonly used in industries like retail, logistics, and warehousing to improve efficiency and accuracy. Workers in this job may need to ensure data integrity, troubleshoot scanning issues, and sometimes communicate with team members or clients remotely.

What are some common challenges faced by remote barcode scanning professionals, and how can they be overcome?

Remote barcode scanning professionals often encounter challenges such as inconsistent internet connectivity, difficulty with low-quality or damaged barcodes, and managing communication across distributed teams. To overcome these, it's important to use reliable scanning software, maintain a stable internet connection, and stay proactive in reporting technical issues promptly. Frequent communication with team members and clear documentation of scanned inventory also help maintain workflow efficiency and minimize errors.

What is the difference between Remote Barcode Scanning vs Remote Data Entry?

AspectRemote Barcode ScanningRemote Data Entry
Required SkillsAttention to detail, familiarity with scanning devices, basic computer skillsTyping speed, accuracy, data management skills
Work EnvironmentWarehouse or retail settings, using scannersHome or office, using computers
CertificationsNone typically required, but some familiarity with inventory systems helpsNone usually required, but proficiency in data software is beneficial
Industry UsageLogistics, retail, manufacturingAdministrative, healthcare, finance

Remote Barcode Scanning involves using scanning devices to track inventory or products, often in warehouse or retail environments, while Remote Data Entry focuses on inputting data into systems from home or office. Both roles require accuracy and computer skills but differ in work setting and specific tasks.

What are the most commonly searched types of Barcode Scanning jobs in California? The most popular types of Barcode Scanning jobs in California are:
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What cities in California are hiring for Remote Barcode Scanning jobs? Cities in California with the most Remote Barcode Scanning job openings:
Remote Barcode Scanning jobs near you
Sr. ML Ops Engineer

Sr. ML Ops Engineer

Corvus Robotics

Mountain View, CA • On-site, Remote

$123K - $169K/yr

Full-time

Posted 15 days ago

Key responsibilities

  • Build and maintain data pipeline infrastructure that consolidates internal infrastructure, labeling tools, S3, and other data sources into a unified, queryable system.

  • Build tooling for dataset selection and curation that can programmatically target specific data.

  • Own ML data infrastructure from robot to training run, accessible to the ML team without backend engineering help.

Job description

About Corvus
Every physical good spends time in a warehouse, and every warehouse tracks their inventory. Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing forklifts.
We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity.
About the Role
With a growing fleet of autonomous drones and an expanding customer base, we're now ready to multiply ML iteration speed and unblock more advanced ML product delivery.
We're hiring a systems-oriented Senior Software Engineer to build the data infrastructure, training pipelines, and internal tooling that our ML team needs to move faster.
Specifically in this role you will:
  • Build and maintain the data pipeline infrastructure that consolidates internal infra, labeling tools, S3, and other data sources into a unified, queryable system
  • Build tooling for dataset selection and curation that can programmatically target specific data (by environment, object type, etc.)
  • Own ML data infra from robot to training run, accessible to the ML team without backend engineering help
  • Build model evaluation and regression testing infrastructure -- real metrics, not vibes or "someone complained in prod"
  • Automate the model retuning loop for standard tasks so ML engineers can be mostly hands-off on routine updates

This is a hybrid or remote role with periodic trips to HQ in Mountain View, CA.
Must Haves
  • 2-3 years shipping real production ML infrastructure for big datasets, not just scripts
  • Experience building distributed data pipelines that consolidate multiple sources
  • Demonstrated understanding of data flow from raw collection, labeled training set, to trained models
  • Experience building systems from scratch, or contributed heavily to a small-team infra build where the playbook didn't exist
  • Ability to thrive in a startup environment with high ambiguity. You'll figure out what to build

Nice to Haves
  • Experience setting up annotation tooling and workflows
  • Background in robotics autonomy and computer vision

Experience integrating with tools like Kubeflow, SLURM, or similar for scalable training workflows

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