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Hourly Ai Data Trainer Jobs (NOW HIRING)

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Improve model accuracy through iterative training, active learning, and few-shot learning ...

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · On-site

$34.44/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are ... NIST AI Framework training or certification. * Residency in Colorado is preferred. Join us to shape ...

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

Responsibilities : • Collaborate with data modelers to prepare and optimize datasets for AI model training and inference. • Design and implement data pipelines that support AI/ML workflows ...

Welo Global

Project Epsilon - Somali Data Trainer

$24/hr

About the Role We are looking for detail-oriented Trainers to support an AI data annotation project. In this role, you will review pre-seeded questions paired with images and provide accurate "golden ...

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Implement data versioning, lineage tracking, and observability for AI training and inference pipelines. * Optimize data delivery for low-latency AI interactions and high-throughput batch processing.

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement. * Collaborate with distributed teams of engineers, data scientists, product owners ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement. * Collaborate with distributed teams of engineers, data scientists, product owners ...

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Hourly Ai Data Trainer information

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How much do hourly ai data trainer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for hourly ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is an hourly AI data trainer?

An Hourly AI Data Trainer is a professional who works on a part-time or contract basis to label, annotate, and review data to help train artificial intelligence (AI) models. Their main responsibility is to ensure that data used for machine learning algorithms is accurate, consistent, and well-organized. These trainers might work with text, images, audio, or video data, following detailed guidelines to categorize or tag content appropriately. The role is essential for improving the performance and reliability of AI systems, as well-labeled data is crucial for effective machine learning. Hourly AI Data Trainers often work remotely and may be compensated based on the amount of data processed or time spent working.

What are the key skills and qualifications needed to thrive as an hourly AI data trainer?

To thrive as an Hourly AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation or machine learning concepts, often supported by relevant coursework or experience. Familiarity with annotation platforms, data labeling tools, and sometimes basic coding or spreadsheet applications is typically required. Excellent communication, reliability, and the ability to follow detailed guidelines set standout performers apart. These skills ensure high-quality, accurate data labeling, which is critical for training effective AI models.

What are some common challenges faced by hourly AI data trainers, and how can they be managed effectively?

Hourly AI Data Trainers often encounter challenges such as maintaining consistency in data labeling, understanding complex annotation guidelines, and managing repetitive tasks. Staying organized and regularly referring to updated project documentation helps ensure accuracy. Collaborating with team leads and participating in periodic quality reviews can also reduce errors and improve efficiency. Keeping open communication with peers allows for quick clarification of uncertainties, making the work more manageable and productive.

What is the difference between Hourly Ai Data Trainer vs Data Annotator?

AspectHourly Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; no specialized certifications typically required
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote or on-site, in data labeling or content moderation settings
Employer & Industry UsageTech companies, AI startups, research institutionsData labeling firms, AI companies, content platforms

While both roles involve working with data, an Hourly Ai Data Trainer focuses on training AI models by providing structured data and feedback, often requiring some technical understanding. A Data Annotator primarily labels or tags data to prepare it for machine learning, with less emphasis on training AI systems. Both roles are essential in AI development but differ in scope and responsibilities.

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Hourly Ai Data Trainer jobs near you
Infographic showing various Hourly Ai Data Trainer 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 $64,984 per year, or $31.2 per hour.

AI Data Scientist

Prosum Inc.

Phoenix, AZ • On-site

Other

Posted 13 days ago

Job description

Job Description
Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote.
The AI Data Scientist will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Algorithm & Model Development
  • Design, train, and optimize deep learning and computer vision models for automated defect detection and classification.
  • Develop object detection and image classification algorithms to identify micro-scale defects such as particles, scratches, and pattern anomalies.
Die-to-Database (DB) Comparison
  • Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.
  • Improve alignment accuracy and robustness under varying imaging conditions.
Advanced Data Analytics
  • Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
  • Analyze large, noisy datasets to optimize signal-to-noise ratio and model performance.
Model Development & Continuous Improvement
  • Evaluate model performance using real-world inspection data and analyze edge cases.
  • Improve model accuracy through iterative training, active learning, and few-shot learning techniques.
  • Collaborate with software engineers, field application teams, and domain experts to deploy and validate production-ready AI models.
Miscellaneous Responsibilities
  • Document algorithms, experiments, and model performance results.
  • Participate in code reviews, technical discussions, and knowledge sharing.
  • Assist with data preparation, annotation, validation, and quality assurance.
  • Stay current with advances in computer vision, machine learning, and AI technologies.
  • Collaborate with cross-functional teams to support product development and model deployment.
  • Perform other duties as assigned.

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