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Ai Data Annotation Specialist Jobs (NOW HIRING)

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 ...

New

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.

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial for multilingual data annotation projects. Proven track record of handling confidential and ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

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Ai Data Annotation Specialist information

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$28K

$72.9K

$88K

How much do ai data annotation specialist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

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

AspectAi Data Annotation SpecialistData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, collaborative with data teamsRemote or office-based, often repetitive tasks
Industry UsageAI, machine learning, tech companiesData processing, research, tech companies
Search IntentUnderstanding roles in AI data prepBasic data labeling tasks

The main difference is that an Ai Data Annotation Specialist typically handles more complex annotation tasks, often involving understanding AI models, while a Data Labeler performs more straightforward labeling work. Both roles are essential in preparing data for machine learning, but the specialist usually requires a deeper understanding of annotation tools and AI workflows.

How to become an AI Data Annotation Specialist?

To become an AI Data Annotation Specialist, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Relevant experience in data labeling, understanding of AI or machine learning concepts, and good communication skills are also beneficial. Some roles may require a high school diploma or equivalent, with advanced positions favoring additional technical training or certifications.
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Ai Data Annotation Specialist jobs near you
Infographic showing various Ai Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 80% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

AI Data Annotation Specialist (human)

NEURA Robotics

On-site

$70 - $90/hr

Other

Posted 3 days ago

New

Job description

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 maintain scalable workflows for automated data annotation, while ensuring that datasets are properly validated, standardized, and formatted for efficient model training.

You play a critical role in enabling high-quality AI systems by transforming raw data into structured, reliable training datasets.

  • Design, build, and maintain pipelines for automated and semi-automated data annotation
  • Ingest and integrate data from multimodal sources into structured data workflows
  • Apply pre-labeling techniques using existing models to accelerate annotation processes
  • Validate and ensure the quality, consistency, and completeness of annotated datasets
  • Identify and resolve data quality issues, inconsistencies, and biases
  • Transform and standardize datasets into model-ready formats
  • Collaborate closely with ML Engineers to optimize datasets for training and evaluation
What we can look forward to
  • Degree in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in machine learning operations, AI, or software engineering
  • Strong programming skills in Python and C++
  • Solid understanding of AI / machine learning fundamentals and data requirements
  • Experience with data annotation tools or labeling workflows
  • Familiarity with dataset structuring and formatting for ML frameworks (e.g., robotics datasets, multimodal data)
  • Strong attention to detail and a quality-driven mindset
  • Experience with cloud platforms (AWS, GCP, Azure) is a plus
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