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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 ...

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 ...

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

Prior experience in content moderation, data annotation, or policy enforcement roles. Technical Skills Proficiency with annotation tools and platforms. Ability to review multimedia content (text ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal candidate will have strong experience in AI/ML data labeling, QA, and evaluation across NLP ...

Comrise

CA · On-site

$26 - $29/wk

CNC Machinist II - Relocation Packages Available! (Menomonie, WI) Comrise is currently looking for a skilled CNC Machinist II to join our partner's team in Menomonie, WI , to perform intermediate to ...

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Senior Data Annotation Specialist information

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

As of Jul 7, 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 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 15 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with autonomous trucks. 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 Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).
• Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
• Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
• Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
• Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
• Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.
Qualifications:
Required:
• Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.
• Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
• Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird’s Eye View).
• Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
• Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets.
Preferred:
• Prior experience in data annotation for autonomous driving, robotics, or computer vision.
• Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
• Experience with 3D labeling tools.
• Familiarity with HD maps.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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