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Per Diem Ai Data Annotation 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

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist - Remote

Manhattan, NY · On-site

$83 - $131/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · On-site

$83 - $124/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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Per Diem Ai Data Annotation information

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$37.5K

$122.7K

$196.5K

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

As of Aug 21, 2026, the average yearly pay for per diem ai data annotation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a per diem AI data annotation?

A Per Diem AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—on a flexible, as-needed basis to help train artificial intelligence and machine learning models. 'Per diem' means the position is paid by the day or for specific tasks, rather than being a full-time or salaried role. These jobs are vital for ensuring AI systems learn from accurate, well-labeled datasets. The work is often remote and may vary in workload based on project needs. Attention to detail and consistency are important qualities for success in this role.

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

To thrive as a Per Diem AI Data Annotation Specialist, you need strong attention to detail, good analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher education in a related field. Familiarity with annotation platforms, data management systems, and sometimes basic programming or scripting tools is beneficial. Reliability, time management, and clear communication are key soft skills for meeting project deadlines and collaborating with remote teams. These skills ensure the accuracy and consistency of labeled data, which is critical for training high-performing AI models.

What are some common challenges faced by per diem AI data annotation professionals, and how can they be addressed?

Per Diem AI Data Annotation professionals often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and adapting to evolving project guidelines. It is important to carefully review annotation instructions and ask clarifying questions when uncertainties arise. Staying organized and regularly communicating with team leads or project managers can help address ambiguities and ensure high-quality, accurate annotations. Additionally, leveraging available training resources and collaborating with peers can aid in staying up-to-date with best practices.

What is the difference between Per Diem Ai Data Annotation vs Data Labeler?

AspectPer Diem Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often on a per-project basisLabeling data to improve AI models, often on a per-task basis

Both roles involve data annotation and are used in AI and machine learning industries. Per Diem Ai Data Annotation typically refers to short-term, project-based work with flexible schedules, while Data Labelers may work on similar tasks but often with a broader scope or different employment arrangements. Both require attention to detail and basic technical skills, making them closely related roles in the data annotation field.

More about Per Diem Ai Data Annotation jobs

What cities are hiring for Per Diem Ai Data Annotation jobs?

Cities with the most Per Diem Ai Data Annotation job openings:

What are the most commonly searched types of Ai Data Annotation jobs?

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What states have the most Per Diem Ai Data Annotation jobs?

States with the most job openings for Per Diem Ai Data Annotation jobs include:

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The top searched job categories for Per Diem Ai Data Annotation jobs are:

Per Diem Ai Data Annotation jobs near you
Infographic showing various Per Diem Ai Data Annotation 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 $122,738 per year, or $59 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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