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Senior Data Annotation Specialist Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's perception and mapping stacks. Responsibilities : • 3D Perception ...

Dyna Robotics

Data Annotation Specialist

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

Bot Auto

Data Annotation Specialist

Houston, TX

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Perform accurate data entry and data validation to ensure high-quality datasets. * Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation ...

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

As of Jul 27, 2026, the average hourly pay for senior data annotation specialist in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What is the highest salary for data annotator?

The highest salary for a senior data annotation specialist can reach up to $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or working for large tech companies may offer higher compensation. Most positions require attention to detail and familiarity with annotation tools like Labelbox or CVAT.

What does a data annotation specialist do?

A data annotation specialist labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Specialist, and why are they important?

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.

How hard is it to get hired by data annotation?

Getting hired as a senior data annotation specialist typically requires relevant experience in data labeling, familiarity with annotation tools, and attention to detail. The hiring process often involves reviewing work samples and assessing accuracy, with competition varying based on the company's demand and job market conditions.

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.

What are Senior Data Annotation Specialists?

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.

Is data annotation high paying?

Data annotation specialists can earn competitive wages, especially with experience and proficiency in tools like labeling software and understanding data quality standards. Salaries vary by industry, location, and skill level, but experienced annotators working on complex projects tend to earn higher pay.
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Senior Data Annotation Specialist jobs near you
Infographic showing various Senior Data Annotation Specialist job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.
Data Annotation Specialist

Data Annotation Specialist

Blackstone Talent Group

Santa Rosa, CA • On-site

$30 - $35/hr

Other

Posted 11 days ago

Job description

Data Annotation Specialist


Position Details:

Location: San Francisco, CA 94107 (Onsite)

Type: Contract

$30-35w2 per hour


The Annotation QA Specialist is responsible for ensuring the quality, accuracy, and consistency of annotated datasets. Working closely with internal teams, this role maintains high standards of data integrity and supports the smooth execution of data-related projects.


Responsibilities

  • Serve as the primary quality checkpoint for our route configuration and annotation process, ensuring adherence to quality standards and project requirements.
  • Review and evaluate datasets for accuracy, completeness, and consistency — identifying, flagging, and resolving discrepancies or errors.
  • Conduct regular quality control audits on annotated data, implementing and tracking corrective measures as needed.
  • Document QA findings and trends, providing actionable insights and recommendations to improve annotation quality over time.
  • Collaborate with annotation team members and cross-functional partners to communicate quality standards and address recurring issues.
  • Assist with data analysis and reporting tasks as needed.


Required Qualifications

  • Excellent attention to detail with a high degree of accuracy in reviewing and evaluating annotated data.
  • Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
  • Ability to prioritize tasks, meet deadlines, and adapt to shifting project requirements.
  • Strong analytical and problem-solving skills, with the ability to translate data findings into actionable recommendations.
  • Proficiency in spreadsheet tools (Excel, Google Sheets).




EEO Statement:


Blackstone Talent Group is a division of Blackstone Technology Group, a global IT services and solutions firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone’s global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.

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