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Virtual Data Labelling Jobs in Texas (NOW HIRING)

Advanced knowledge of critical infrastructure components such as racks, labeling, commercial UPS ... Principles of networking (layers 2 and 3); Virtual private networks, IPsec and/or SSL; Network ...

Senior ML Engineer

Dallas, TX · On-site +1

$103.80K - $142.60K/yr

Lead data collection, synthesis, analysis, and cleaning to develop high-quality datasets for model ... Device identifiers (PID, Serial Number, MAC, Hostname) Smart / Virtual accounts Orders, contracts ...

Network Engineer, Senior

San Antonio, TX · Hybrid

$93.80K - $128.50K/yr

A well-designed network is critical to move data and enable the Department of Defense (DoD) to ... label switching, gateway protocol, and virtual routing and forwarding to support the nation ...

Pharmacy Technician

Richardson, TX

$16 - $19.25/hr

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... The Pharmacy Technician is responsible for preparing and labeling prescriptions. Counts, weighs ...

Network Engineer, Senior

San Antonio, TX · Hybrid

$93.80K - $128.50K/yr

A well-designed network is critical to move data and enable the Department of Defense (DoD) to ... label switching, gateway protocol, and virtual routing and forwarding to support the nation ...

Pharmacy Technician

Richardson, TX · On-site

$16 - $19.25/hr

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... The Pharmacy Technician is responsible for preparing and labeling prescriptions. Counts, weighs ...

Network Engineer, Senior

San Antonio, TX · Hybrid

$93.80K - $128.50K/yr

A well-designed network is critical to move data and enable the Department of Defense (DoD) to ... label switching, gateway protocol, and virtual routing and forwarding to support the nation ...

Pharmacy Technician

Richardson, TX

$15.75 - $19.25/hr

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... The Pharmacy Technician is responsible for preparing and labeling prescriptions. Counts, weighs ...

Power Platform Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Hands-on delivery experience with Copilot Studio or earlier Power Virtual Agents, including at ... labels, DLP, information protection), and Microsoft Fabric as a grounding data layer for agents.

Power Platform Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Hands-on delivery experience with Copilot Studio or earlier Power Virtual Agents, including at ... labels, DLP, information protection), and Microsoft Fabric as a grounding data layer for agents.

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Showing results 1-20

Virtual Data Labelling information

What are the key skills and qualifications needed to thrive as a Virtual Data Labeller, and why are they important?

To thrive as a Virtual Data Labeller, you need strong attention to detail, accuracy, and basic data processing skills, typically supported by a high school diploma or relevant experience. Familiarity with data annotation tools, content management systems, and sometimes basic programming or spreadsheet software is important. Strong time management, focus, and effective communication skills help you meet deadlines and collaborate with remote teams. These abilities are crucial to ensure high-quality, consistent data labelling that directly impacts the performance of machine learning models.

How does a virtual data labeller typically collaborate with data scientists and machine learning engineers?

Virtual data labellers play a crucial role in supporting data scientists and machine learning engineers by accurately tagging data that will be used to train and validate models. Collaboration often occurs through project management tools or direct communication platforms, where labellers receive guidelines and feedback to ensure consistency and quality. Regular check-ins or quality audits are common, and labellers may join virtual meetings to clarify requirements or discuss ambiguous cases. This teamwork helps ensure that the labelled data meets project standards and contributes to the success of AI initiatives.

What is virtual data labelling?

Virtual data labelling is the process of annotating or tagging data, such as images, videos, or text, through online platforms to make it understandable for machine learning algorithms. Data labelers work remotely to identify and categorize objects, features, or information within datasets, which helps train artificial intelligence systems. This job is essential in industries like autonomous vehicles, healthcare, and e-commerce, where large volumes of labelled data are needed to improve AI accuracy.

What is the difference between Virtual Data Labelling vs Data Annotation Specialist?

AspectVirtual Data LabellingData Annotation Specialist
CredentialsBasic computer skills, training in labelling toolsSimilar, often requires training in annotation software
Work EnvironmentRemote, online platformsRemote or on-site, depending on employer
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentLabeling data for AI modelsAnnotating data for machine learning

Both roles involve preparing data for AI systems, but Virtual Data Labelling focuses on assigning labels to datasets using online tools, while Data Annotation Specialists may perform more detailed annotations, often requiring specific domain knowledge. Both are essential in AI development and share similar work environments and skill requirements.

What are the most commonly searched types of Data Labelling jobs in Texas? The most popular types of Data Labelling jobs in Texas are:
What are popular job titles related to Virtual Data Labelling jobs in Texas? For Virtual Data Labelling jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Texas look for? The top searched job categories for Virtual Data Labelling jobs in Texas are:
What cities in Texas are hiring for Virtual Data Labelling jobs? Cities in Texas with the most Virtual Data Labelling job openings:

Quality Assurance Engineer - AV Behavior Simulation Testing

Avride

Austin, TX

Other

Posted 6 days ago


Job description

About the Team

Our Simulation Testing team ensures reliability and safety of autonomous driving systems through comprehensive virtual scenario testing. We collaborate closely with the Motion Planning, Prediction, Perception, and Control teams to build effective offline testing environments, reliable testing processes, and datasets. Our main goal is to detect and resolve issues as early and thoroughly as possible, prior to testing in real-world conditions.

About the Role

As a QA Engineer in Simulation Testing, you'll design, execute, and analyze virtual test scenarios, focusing on validation of autonomous driving software. You'll work closely with development, analytics, and data labeling teams, prepare checklists and test scenarios, gather testing datasets, and deliver clear and actionable testing reports. Your analytical mindset and proactive approach to continuous improvement will be key to your success in this role.

What You'll Do
  • Design and implement structured testing plans for new features and bug fixes
  • Develop detailed checklists and testing scenarios
  • Collect and organize datasets for thorough testing
  • Analyze test outcomes and document defects clearly
  • Create reports on test findings and safety metrics
  • Design metrics for evaluating AV performance and safety
  • Collaborate closely with cross-functional teams to improve test coverage and effectiveness
What You'll Need
  • 3+ years of experience in software testing
  • Strong analytical abilities and structured thinking
  • Proactive, inquisitive mindset with a drive for continuous improvement and deeper product understanding
  • Excellent ability to plan and prioritize tasks effectively under varying workloads
  • Good understanding of traffic rules and driving regulations
Nice to Have
  • Experience with autonomous vehicle testing
  • Proficiency in at least one programming language (e.g., Python)
  • Basic understanding of vehicle dynamics or sensor technology (LiDAR, Radar, Cameras)