1

Senior Data Annotation Specialist Jobs in Spring, TX

Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine ...

Senior Data Architect

Houston, TX · On-site

$60.75 - $81.50/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... and integration specialists on the PM2PA team. Required Qualifications & Skills: Education:

Data Interpretation * Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred Qualifications * Minimum 3 years of experience in private equity, venture capital ...

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 ... specialists on the PM2PA team. Qualifications : Required : • Bachelor's degree or diploma in ...

Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving ... Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect ...

next page

Showing results 1-20

Senior Data Annotation Specialist information

See Spring, TX salary details

$12

$28

$56

How much do senior data annotation specialist jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for senior data annotation specialist in Spring, TX is $28.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $35.10 per hour, depending on experience, location, and employer.

What is a senior data annotation specialist?

Senior Data Annotation Specialists are experienced professionals who oversee and perform the process of labeling and categorizing data, such as images, audio, text, or video, to train and improve machine learning models. They ensure high-quality, accurate annotations and often lead teams, develop guidelines, conduct quality checks, and collaborate with engineers and data scientists. Their expertise helps drive the effectiveness of artificial intelligence applications by providing reliable data for algorithm training.

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

To thrive as a Senior Data Annotation Specialist, you need expertise in data labeling, attention to detail, and a strong understanding of machine learning concepts, often supported by a relevant degree or experience in data science or AI projects. Familiarity with annotation tools such as Labelbox, CVAT, or Supervisely, and knowledge of data management systems are typically required. Outstanding communication, problem-solving skills, and the ability to lead quality assurance efforts help set exceptional specialists apart. These skills ensure high-quality, accurate data annotations that are critical for building reliable AI and machine learning models.

What are some common challenges faced by senior data annotation specialists, and how are they addressed in a typical work environment?

Senior Data Annotation Specialists often encounter challenges such as ensuring consistency and accuracy across large datasets, managing tight deadlines, and adapting to evolving project guidelines. To address these, teams typically implement regular quality audits, provide comprehensive training on annotation tools, and encourage open communication for clarifying ambiguous cases. Collaboration with data scientists and project managers is also essential to align on labeling standards and quickly resolve issues, creating a supportive and efficient work environment.

What is the difference between Senior Data Annotation Specialist vs Data Labeling Technician?

AspectSenior Data Annotation SpecialistData Labeling Technician
CredentialsExperience in data annotation, familiarity with annotation toolsBasic training in labeling procedures
Work EnvironmentCollaborative teams, project managementSupervised, task-specific labeling
Industry UsageAI, machine learning, data scienceData preparation, initial labeling tasks

The Senior Data Annotation Specialist typically has more experience and handles complex annotation projects, while Data Labeling Technicians focus on straightforward labeling tasks under supervision. Both roles are essential in data preparation for AI applications, but the senior role involves greater responsibility and expertise.

Does data annotation actually pay well?

Data annotation specialists can earn varying wages depending on experience, complexity of tasks, and the platform or employer. Entry-level roles often pay hourly rates close to minimum wage, while experienced annotators with specialized skills or certifications can earn higher pay, sometimes exceeding average wages for similar entry-level positions. Overall, pay is generally modest compared to more advanced data science roles but can be a reliable source of income for part-time or freelance work.

What are the most commonly searched types of Data Annotation Specialist jobs in Spring, TX?

The most popular types of Data Annotation Specialist jobs in Spring, TX are:

What job categories do people searching Senior Data Annotation Specialist jobs in Spring, TX look for?

The top searched job categories for Senior Data Annotation Specialist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Senior Data Annotation Specialist jobs?

Cities near Spring, TX with the most Senior Data Annotation Specialist job openings:

Infographic showing various Senior Data Annotation Specialist job openings in Spring, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $59,610 per year, or $28.7 per hour.

AI Training Specialist (Data Annotation)

Houston, TX • Remote

$20/hr

Full-time, Part-time

Re-posted 20 days ago


Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology