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Senior Data Annotation Specialist Jobs (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. What you'll do

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$32

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

As of Jun 12, 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.

Is it difficult to get a job at data annotation?

Securing a position as a senior data annotation specialist generally requires attention to detail, familiarity with annotation tools, and sometimes prior experience in data labeling or related fields. While entry-level roles may have minimal requirements, senior positions often demand advanced skills and a strong understanding of data quality standards, making competition moderate depending on the employer and location.

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 in a team environment with quality control processes.

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.

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.

What is the highest salary of data annotation?

The highest salaries for senior data annotation specialists 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, especially with additional certifications or expertise in specific tools like labeling platforms or AI training environments.

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 rates, 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.
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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 June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Posted 3 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