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Senior Data Annotation Analyst Jobs in Houston, TX

Paul Hastings

Senior Data Engineer

Houston, TX · On-site

$194K/yr

This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and ...

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland ... The role also carries a strong reporting and data-analysis focus - partnering with business users ...

Raas Infotek LLC

Senior Data Engineer

Texas City, TX · On-site

$90K - $123K/yr

Senior Data Engineer Experience: 12+ Years Job Type: W2 Contract Job Summary We are seeking a ... Collaborate with data architects, analysts, data scientists, application developers, and business ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Quanex Building Products

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Quanex

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Senior Data Scientist Houston, TX Description: We are looking for a candidate with the ability to ... Documenting and explaining the results of analysis or modelling to both a technical and non ...

Stantec

Senior Data Architect

Houston, TX · On-site

$64.25 - $86/hr

They are seeking a Senior Data Architect to design and implement data architecture strategies for ... Analysts, and Project Management - to plan and execute PM2PA data-related projects. • Provide ...

Fracht USA

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision-making across the organization's global operations.

mBridge Solutions

Sr. Data Engineer

Houston, TX · On-site

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n ... Only Houston, TX candidates \n \n \n \n \n \n \- Responsibilities: \n \n \n \-Build analytics tools ...

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All JobsData Annotation Analyst JobsSenior Data Annotation Analyst JobsSenior Data Annotation Analyst Jobs in Houston, TX

Senior Data Annotation Analyst information

See Houston, TX salary details

$52.5K

$94.8K

$129.4K

How much do senior data annotation analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior data annotation analyst in Houston, TX is $94,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $103,600.00 per year, depending on experience, location, and employer.

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

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

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

What cities near Houston, TX are hiring for Senior Data Annotation Analyst jobs?

Cities near Houston, TX with the most Senior Data Annotation Analyst job openings:

Senior Data Annotation Analyst jobs near you

Analyst, Senior Data Engineering

Enterprise Products

Houston, TX • On-site

$82K - $103K/yr

Full-time

Re-posted 22 days ago

Enterprise Products rating

9.2

Company rating: 9.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

1st of 53 rated energy and utility

Job description

Description
Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.
We are currently seeking an experienced Python Software Engineer to join the Big Data and Advanced Analytics department. The Python Software Engineer will work closely with Data Engineers and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics and machine learning.
  • Work directly with subject matter experts to develop high quality, reliable, scalable, software products.
  • Design and implement frameworks and tools to streamline the machine learning process.
  • Implement data manipulation and transformation logic to support various use cases.
  • Leverage software architecture and design patterns to develop fault tolerant microservices.
  • Document code and architectural decisions to support maintainability.
  • Implement processes to ensure coding standards, code quality, documentation, and test coverage.

Qualifications
The successful candidate will meet the following qualifications:
  • 5+ years of programming experience in Python.
  • Expertise in developing and maintaining data pipelines.
  • Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control.
  • Expertise in Object-Oriented Design Principals and Functional Programming Principals.
  • Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing distributed computing systems.
  • Knowledgeable of DevOps Principles.
  • Experience in designing modular, reusable software components.
  • Experience in developing API endpoints and microservices..

What Enterprise Products employees say

Pay

Benefits

Hours and flexibility

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