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Ai Data Trainer Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$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 ...

Bright Vision Technologies

AI Data Engineer

Cumming, GA · 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

Hicksville, NY · Remote

$116K - $139K/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 ...

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

Bolingbrook, IL · Remote

$113K - $136K/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 ...

Burlington

AI Data Scientist

Edgewater Park, NJ

$80K - $105K/yr

Position Overview As a Junior AI Data Scientist, you will support business areas including ... We are a rapidly growing brand and provide a variety of training and development opportunities so ...

Burlington Stores

AI Data Scientist

Beverly, NJ · On-site

Position Overview As a Junior AI Data Scientist, you will support business areas including ... We are a rapidly growing brand and provide a variety of training and development opportunities so ...

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

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 ...

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 ...

Nextaff Raleigh

Be Seen First

AI & Data Strategy Manager

Raleigh, NC · On-site

$115K - $125K/yr

AI & Data Strategy Manager - Direct Hire | Hybrid (Raleigh, NC Area) Artificial Intelligence / Data ... Drive adoption of AI capabilities through training, documentation, and change management efforts

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.

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$65.25 - $84/hr

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 ...

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 · 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 ...

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Ai Data Trainer information

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How much do ai data trainer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for 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 AI Data Trainer job?

An AI Data Trainer is responsible for labeling, annotating, and curating datasets used to train machine learning models. They ensure data quality and relevance by following guidelines to improve model accuracy. Their work involves reviewing AI outputs, providing corrections, and fine-tuning datasets to reduce biases. AI Data Trainers play a key role in enhancing the performance of AI systems across various applications.

What are the key skills and qualifications needed to thrive in the Ai Data Trainer position, and why are they important?

To thrive as an AI Data Trainer, you need strong analytical skills, attention to detail, and experience with data labeling and annotation, typically supported by a background in computer science or data-related fields. Familiarity with annotation tools, machine learning concepts, and often platforms like Python or specialized data management software is usually required. Excellent communication, adaptability, and a collaborative mindset are valuable soft skills in this role. These qualifications are essential to ensure high-quality, accurate data preparation that directly impacts AI model performance and project success.

What does a typical day look like for an AI Data Trainer?

As an AI Data Trainer, your day often involves carefully reviewing, labeling, and validating large datasets for use in machine learning models. You may work closely with data scientists, engineers, and fellow trainers to ensure data accuracy and resolve ambiguities. The role can also include developing annotation guidelines, providing quality feedback, and occasionally participating in team meetings to discuss process improvements. A typical work environment is collaborative and fast-paced, offering the opportunity to contribute directly to innovative AI projects while continually learning new tools and techniques.

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Ai Data Trainer jobs near you
AI Data Engineer

AI Data Engineer

IntraEdge

Detroit, MI

$113K - $136K/yr

Full-time

Posted 27 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

Instagram

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