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Label Studio Jobs in Texas (NOW HIRING)

Senior AI Data Engineer

Frisco, TX · On-site

$140 - $190/hr

Stand up andmaintainannotation andsynthetic-datapipelines (CVAT,Roboflow, Label Studio) that produce training and ground-truth datasets. * Integrate ServiceNow incident, asset, and CMDB data to ...

New

AI Data Engineer

Frisco, TX · On-site

$140 - $210/hr

Stand up andmaintainannotation andsynthetic-datapipelines (CVAT,Roboflow, Label Studio) that produce training and ground-truth datasets. * Integrate ServiceNow incident, asset, and CMDB data to ...

New

Delivery Lead

Austin, TX · Remote

$110K - $140K/yr

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for ...

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for ...

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for ...

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for ...

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for ...

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for ...

Senior Copilot Studio Developer

Houston, TX · On-site

$52 - $68.75/hr

The Senior Copilot Studio Developer is responsible for building, configuring, and maintaining ... Purview sensitivity labels, DLP, Entra ID, and responsible AI principles as applied to agent design.

Senior Copilot Studio Developer

Houston, TX · Hybrid

$52 - $68.75/hr

The Senior Copilot Studio Developer is responsible for building, configuring, and maintaining ... Purview sensitivity labels, DLP, Entra ID, and responsible AI principles as applied to agent design.

... label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). What We Need: 2K Publishing Tech delivers innovative solutions to our studios and supports all of their technology needs to ensure they ...

... label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). What We Need: 2K Publishing Tech delivers innovative solutions to our studios and supports all of their technology needs to ensure they ...

Company Description Revolt Studios is an international photography and video production company ... PAs may assist with labeling, collecting and organizing wardrobes. They may also be in charge of ...

Company Description Revolt Studios is an international photography and video production company ... PAs may assist with labeling, collecting and organizing wardrobes. They may also be in charge of ...

$22.25 - $30.25/hr

The Four Hands Art Studio is a modern art and design studio that produces unique and compelling ... times, special labeling, shipping procedures * New order entry into manufacturing queue ...

As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our ... Support multiple game studios with varying needs, geographic locations, and vendor rosters ...

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Label Studio information

What is Label Studio?

Label Studio is an open-source data labeling tool that enables users to annotate various types of data, including images, text, audio, and videos. It is widely used for preparing training datasets for machine learning and artificial intelligence applications. Label Studio supports customizable labeling interfaces, collaborative annotation workflows, and integrates easily with other data science tools. Its flexibility and extensibility make it a popular choice for both individual researchers and enterprise teams.

What skills and qualifications are needed to work as a Label Studio data annotation specialist?

To excel as a Label Studio Data Annotation Specialist, you need a solid understanding of data labeling concepts, attention to detail, and experience with data annotation processes, often supported by familiarity with machine learning workflows. Proficiency in using the Label Studio platform, knowledge of data formats like JSON and CSV, and occasionally scripting skills in Python are valuable technical assets. Strong communication, teamwork, and problem-solving abilities help you interpret guidelines and collaborate with data science teams. These skills ensure high-quality, consistent labeled data, which is critical for training accurate machine learning models.

What are common challenges faced when working as a Label Studio annotator, and how can they be addressed?

One frequent challenge in a Label Studio role is ensuring consistent and accurate data annotation, especially when dealing with ambiguous or complex data. Annotators often need to interpret guidelines carefully and collaborate closely with team members to resolve uncertainties. Regular communication with project managers, participation in calibration sessions, and thorough review of annotation instructions can help maintain high-quality output. Additionally, using Label Studio’s built-in collaboration and review features streamlines feedback and quality control, making it easier to address inconsistencies as a team.

What is the difference between Label Studio vs Data Annotator?

AspectLabel StudioData Annotator
Required CredentialsBasic technical skills, familiarity with annotation toolsTypically high school diploma or equivalent, on-the-job training
Work EnvironmentSoftware platform, remote or on-siteOffice or remote, depending on employer
Industry UsageData labeling for AI/ML projects across various industriesData annotation tasks within organizations or outsourcing firms
Common Search IntentTools for data labeling, annotation softwareJob roles in data annotation, entry-level labeling jobs

Label Studio is a versatile data labeling tool used by professionals to create training data for AI models, while Data Annotator refers to the role of performing data labeling tasks, often as an entry-level position. Both are integral to AI development, but Label Studio is a software platform, whereas Data Annotator is a job role.

What are popular job titles related to Label Studio jobs in Texas?

For Label Studio jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Label Studio jobs in Texas look for?

The top searched job categories for Label Studio jobs in Texas are:

What cities in Texas are hiring for Label Studio jobs?

Cities in Texas with the most Label Studio job openings:

Infographic showing various Label Studio job openings in Texas as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution.

Senior AI Data Engineer

UNAVAILABLE

Frisco, TX • On-site

$140 - $190/hr

Other

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


Job description

Overview

Quarterhill is seeking a Senior AI Data Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will architect and own the data platform that fuses our computer vision outputs with roadside sensor and lane-controller telemetry, turning raw, high-volume capture data into a reliable foundation for model training, accuracy auditing, and predictive analytics.

You will design the systems that ingest data from roadside equipment at scale, join it into unified transaction records, and expose it for machine learning, reporting, and forecasting.

As part of our data team, you will collaborate closely with machine learning, engineering, and product teams to deliver high-impact data capabilities for our growing SaaS platform. The ideal candidate brings deep experience building production-grade data infrastructure on cloud platforms, a strong grasp of data modeling and quality at scale, and the judgment to translate business questions into robust, maintainable data systems.

Responsibilities
  • Architect and build pipelines that ingest and fuse images, plate-recognition results, and roadside telemetry into a unified transaction record.
  • Own the data-quality, auditing, and metrics layer, defining and computing read rate, per-stage accuracy, character error rate, confidence calibration, and drift as trustworthy, auditable measures.
  • Build the infrastructure that feeds predictive analytics such as volume forecasting, revenue and leakage estimation, and equipment-fault prediction.
  • Stand up andmaintainannotation andsynthetic-datapipelines (CVAT,Roboflow, Label Studio) that produce training and ground-truth datasets.
  • Integrate ServiceNow incident, asset, and CMDB data to enrich transaction records and feed operational analytics.
  • ApplyMLOpsandDataOpsbest practices for orchestration, testing, deployment, monitoring, and lineage, with clean, modular code.
  • Collaborate cross-functionally to translate analytics and product needs into concrete data systems and measurable impact.

This list of responsibilities might not cover everything you'll end up doing.

Qualifications

Required Skills & Experience

  • 3+ years in data engineering, witha track recordof shipping production-grade data platforms at scale.
  • Master's degree preferred (Bachelor'swith equivalent experience accepted) in Computer Science, Data Engineering, or a related field.
  • Deepexpertisebuilding batch and streaming pipelines (Kafka, Airflow,dbt), with strong data modeling and advanced SQL.
  • Experience with cloud data platforms (AWS, GCP, or Azure) and infrastructure tooling including Docker and Kubernetes.
  • Hands-on ServiceNow integration into cloud warehouses and lakes (BigQuery, Databricks, or Redshift) via Integration Hub and REST APIs, including delta syncs and CDC.
  • Applied analytics, including supervised and unsupervised ML, time-series forecasting, and anomaly detection on operational and sensor data.
  • Data annotation best practices with CVAT,Roboflow, and Label Studio, including model-assisted labeling and COCO/YOLO formats.
  • Nice to have experience generating high-quality synthetic data, including prompt crafting for generative models to produce diverse, label-accurate training data.
  • Strong communicator who translates complex data and business needs into actionable decisions for engineering, ML, and product teams.
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