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Summer Data Annotation Specialist Jobs (NOW HIRING)

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.

NEURA Robotics

$70 - $90/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$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 ...

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

Use annotation tools to mark up text, images, or other data according to specific guidelines. Participate in the validation and quality assurance of annotated data to ensure it meets the required ...

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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Summer Data Annotation Specialist information

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

As of Aug 22, 2026, the average hourly pay for summer 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 a summer data annotation specialist?

Summer Data Annotation Specialists are temporary workers, often students, hired during the summer to label and categorize data for use in machine learning projects. Their tasks typically involve tagging images, transcribing audio, or classifying text, helping to create high-quality datasets that train AI systems. These roles require attention to detail, basic computer skills, and the ability to follow specific guidelines. Summer Data Annotation Specialists play a crucial part in improving the accuracy and effectiveness of artificial intelligence models.

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

To thrive as a Summer Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, usually supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheets, and workflow management tools is often required. Excellent communication, time management, and the ability to follow detailed instructions help you excel in this role. These skills are crucial because they ensure high-quality, accurate data labeling, which is foundational for successful machine learning and AI projects.

What are some typical challenges faced by summer data annotation specialists, and how can they be addressed?

Summer Data Annotation Specialists often encounter challenges such as maintaining accuracy and consistency during repetitive tasks, meeting tight project deadlines, and adapting to evolving annotation guidelines. To address these issues, it’s helpful to take regular short breaks to stay focused, participate actively in team training sessions, and communicate any uncertainties with supervisors or team leads. Collaborating with peers to review and discuss edge cases can also improve annotation quality and create a supportive work environment.

What is the difference between Summer Data Annotation Specialist vs Summer Data Labeler?

AspectSummer Data Annotation SpecialistSummer Data Labeler
CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsHigh school diploma or equivalent; minimal formal requirements
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote or on-site data labeling tasks
Industry UsageUsed in AI, machine learning, and data science projectsCommon in data preparation for AI and machine learning

The Summer Data Annotation Specialist typically involves more complex annotation tasks and may require some technical understanding, whereas the Summer Data Labeler focuses on basic labeling tasks. Both roles support AI development but differ in complexity and responsibilities.

More about Summer Data Annotation Specialist jobs

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States with the most job openings for Summer Data Annotation Specialist jobs include:

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Summer Data Annotation Specialist jobs near you
Infographic showing various Summer Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Operations & Data Annotation Specialist

Avanciers Inc.

Cupertino, CA • On-site

Other

Posted 2 days ago

New

Job description

Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a Contract role for one of our premier client in USA for Operations & Data Annotation Specialist


Role: Operations & Data Annotation Specialist

Location: Los Angeles, CA / San Diego, CA / Cupertino, CA


Position Summary

The Operations & Data Annotation Specialist will support data annotation and validation workflows by assisting with QA audits, annotation tool configuration, task tracking, test-plan execution, and operational reporting. The role requires strong attention to detail, process compliance, and coordination with cross-functional teams.

Key Responsibilities

  • Support data annotation and validation operations according to defined processes and guidelines.
  • Perform QA audits and review annotation quality for accuracy and consistency.
  • Configure and maintain annotation tools and task workflows.
  • Track annotation tasks, priorities, issues, and completion status.
  • Support test-plan execution and document results, defects, and observations.
  • Prepare operational and quality reports for project stakeholders.
  • Identify process gaps and escalate quality or operational issues.
  • Coordinate with data, QA, engineering, and operations teams to resolve workflow issues.
  • Maintain accurate documentation and ensure compliance with established procedures.

Required Qualifications

  • 2–3 years of experience in data annotation, QA operations, data operations, or a related field.
  • Experience working with annotation or data-labeling tools.
  • Understanding of QA audits, task tracking, and quality processes.
  • Experience supporting test plans and operational reporting.
  • Strong attention to detail and analytical skills.
  • Good communication and stakeholder coordination skills.
  • Ability to work onsite and manage multiple operational priorities.

Apply