1

Data Labelling Jobs in Houston, TX (NOW HIRING)

Data Architect, AI and Data Practice

Houston, TX · On-site

$61 - $78.25/hr

Carry governance through to agents with Microsoft Purview and Entra ID: sensitivity labels, permissions and row level security that agents inherit. * Stand up and validate data agents (Fabric data ...

Data Protection Consultant

Houston, TX · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

We are looking for a highly skilled and motivated Data Center Deployment Lead I to join our team at ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

Data Protection Consultant

Houston, TX · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks ...

... label strong a:hover { color: #007acd !important; text-decoration: underline !important; } body:not(.bodygrdf, .bodydistrigaz) #privacy-policy-label strong a:focus { color: #007acd !important ...

Role- L2 Data Centre Technician Location - Houston, TX About the Team The Datacenter Operation team ... Perform cable management tasks including reseating, labeling, and replacing network, power, and ...

... label, complete shipping documentation, and hand off to the carrier. • Track every RMA from ... Experience with IT or data center hardware is strongly preferred. • Confident with Excel and ...

New

Showing results 21-40

Data Labelling information

See Houston, TX salary details

$43.9K

$157.6K

$232.5K

How much do data labelling jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data labelling in Houston, TX is $157,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $162,300.00 per year, depending on experience, location, and employer.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.

What are the most commonly searched types of Data Labelling jobs in Houston, TX?

The most popular types of Data Labelling jobs in Houston, TX are:

What job categories do people searching Data Labelling jobs in Houston, TX look for?

The top searched job categories for Data Labelling jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Labelling jobs?

Cities near Houston, TX with the most Data Labelling job openings:

Infographic showing various Data Labelling job openings in Houston, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $157,588 per year, or $75.8 per hour.

Data Architect, AI and Data Practice

Houston, TX • On-site

Indigo Beam
IT Services • 51 - 200 employees

$61 - $78.25/hr

Other

Posted 17 days ago


Job description

Houston, United States | Posted on 08/24/2026

Indigo Beam Consulting provides a common-sense approach to solving business problems through technology.

Born out of Bluware Inc. which has been in business for twenty-seven years, Indigo Beam was conceived as a full-service business consulting company that deeply cares about creating technology solutions that are in harmony with the environments in which they exist.

We believe that for a technology solution to be sustainable, it must be congruent with the business processes it serves, indigenously maintainable, and cognizant of the unique traits of the organization which it calls home.

Job DescriptionOverview

This is a dual mandate role at the ground floor of our combined AI and Data practice.

From day one you will be hands on and billable on classic data work: reporting, dashboards and data warehouse engagements for mid-market clients. As our AI offerings expand, the same role grows into the technical half of our semantic delivery pair: building the semantic models, business ontologies and governed data foundations that make AI agents trustworthy, alongside a senior functional consultant who runs the business workshops.

You should want both halves. The reporting and warehouse work is not a holding pattern; it is where client trust and the follow-on AI work come from.

What you will do first
  • Design and build data warehouse and lakehouse solutions: dimensional modeling, ELT pipelines, performance tuning.
  • Deliver reporting and BI: Power BI datasets, DAX, tabular semantic models, report and dashboard development.
  • Work directly with client stakeholders to turn loosely stated reporting needs into governed, documented models.
  • Own engagements end to end on small teams: architecture through hands-on build through handover.
Where the role grows
  • Build agent-ready semantic layers: Microsoft Fabric semantic models and Fabric IQ ontologies (entities, relationships, rules) grounded in definitions agreed with the business.
  • Carry governance through to agents with Microsoft Purview and Entra ID: sensitivity labels, permissions and row level security that agents inherit.
  • Stand up and validate data agents (Fabric data agents, Copilot Studio) against eval suites of known-correct business questions.
  • Help shape reusable method and accelerators as we productize these offerings.
Requirements
  • At least 15 years of industry experience, including at least 10 years in data and analytics and at least 10 years in consulting or client delivery roles.
  • Current Microsoft data platform certifications, at minimum DP-600 (Fabric Analytics Engineer) or PL-300 (Power BI Data Analyst); DP-700 (Fabric Data Engineer) is a plus. These also count toward our Microsoft partner designations.
  • Strong SQL and dimensional modeling fundamentals, with production data warehouse delivery experience.
  • Deep Power BI: DAX, tabular model design, workspace governance, deployment practices.
  • Microsoft data platform experience: Fabric or Synapse, Azure Data Factory or equivalent pipeline tooling, OneLake or lakehouse patterns.
  • Experience outside the Microsoft stack, because our clients run mixed estates. Meaningful exposure to at least one of: Snowflake, Databricks, Oracle, AWS analytics services (Redshift, Glue, S3), or dbt.
  • Consulting temperament: comfortable in front of clients, able to run a working session, write things down, and manage more than one engagement at a time.
Nice to have
  • Fabric IQ, semantic layer tooling (dbt Semantic Layer, Cube, AtScale), or knowledge graph and ontology experience.
  • Exposure to AI agent tooling: Copilot Studio, Azure AI Foundry, MCP, or LLM evaluation practices.
  • Esri ArcGIS or GIS data experience, given our geospatial practice.
Why this role?

You join at the start of a practice, not the middle of one. The path from this seat is toward the lead semantic architect role as the AI offerings scale, with direct influence on how the offerings, accelerators and standards get built. Small senior teams, no delivery pyramid, and clients who deal with the person doing the work.

#J-18808-Ljbffr