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Hourly Ai Data Trainer Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Automate the training and deployment of AI/ML models into production via APIs and microservices. * Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify ...

Tiki AI

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking an AI Data Software Engineer who will work closely with AI research labs to ... Responsibilities : • Partner with top-tier AI research labs to translate frontier model training ...

Bright Vision Technologies

AI Data Engineer

Westford, MA · Remote

$100K - $150K/yr

Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows. * Build ingestion systems for diverse modalities including text, image, audio ...

Bright Vision Technologies

AI Data Engineer

Skokie, IL · Remote

$100K - $150K/yr

Job Summary We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering ...

STI

AI Data Architect

$65.25 - $84/hr

AI Data Architect Location: Denver, CO/REMOTE This position is for a remote work environment ... NIST AI Framework training or certification

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

... AI Data Engineer Location Syracuse, NY Campus Syracuse, NY Commitment to On-Campus Experience ... training, work experience and key competencies; the university's strategic priorities; internal ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the practice including technical leadership across AI and Data * Define skills development objectives for ...

Broward Health

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the practice including technical leadership across AI and Data * Define skills development objectives for ...

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 ...

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.

Schonfeld

AI Data Engineer

New York, NY

$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.

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS -- from S3 ... Design SageMaker ML pipelines for training, Model Registry, and inference * Lead data discovery ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 ... Design SageMaker ML pipelines for training, Model Registry, and inference * Lead data discovery ...

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 ...

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Hourly Ai Data Trainer information

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$13

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$63

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

As of Aug 1, 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 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.

What are the key skills and qualifications needed to thrive as an Hourly AI Data Trainer, and why are they important?

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.
More about Hourly Ai Data Trainer jobs
What cities are hiring for Hourly Ai Data Trainer jobs? Cities with the most Hourly Ai Data Trainer job openings:
What are the most commonly searched types of Ai Data Trainer jobs? The most popular types of Ai Data Trainer jobs are:
What states have the most Hourly Ai Data Trainer jobs? States with the most job openings for Hourly Ai Data Trainer jobs include:
What job categories do people searching Hourly Ai Data Trainer jobs look for? The top searched job categories for Hourly Ai Data Trainer jobs are:
Hourly Ai Data Trainer jobs near you
Infographic showing various Hourly Ai Data Trainer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Data Engineer

IntraEdge

Detroit, MI • On-site

$113K - $136K/yr

Full-time

Re-posted 23 days ago

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

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