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Volunteer 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 ...

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 ...

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 ...

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.

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

$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 ...

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 ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company. As a Data Scientist focused on ...

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All JobsVolunteer Ai Data Trainer Jobs

Volunteer Ai Data Trainer information

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$13

$31

$63

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

As of Aug 3, 2026, the average hourly pay for volunteer 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.

How do you become a Volunteer AI Data Trainer?

To become a Volunteer AI Data Trainer, you typically need strong attention to detail, good communication skills, and familiarity with data annotation tools. Many organizations offer online training or tutorials, and volunteers often work remotely on tasks like labeling images, text, or audio data to improve AI models. No formal certification is usually required, but a reliable internet connection and commitment are important.

Can I be a Volunteer AI Data Trainer with no experience?

Volunteer AI Data Trainer roles often do not require prior experience, as training focuses on labeling and reviewing data, which can be learned on the job. Basic computer skills and attention to detail are typically sufficient, and training is usually provided to new volunteers.

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

AspectVolunteer Ai Data TrainerData Annotator
Required CredentialsBasic computer skills, training in AI data processesBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Employer & IndustryTech companies, AI startups, research projectsTech companies, AI, machine learning projects
Common Search & ComparisonOften compared for entry-level AI data rolesCommonly compared with data labeling roles

Volunteer Ai Data Trainers and Data Annotators both work in AI data preparation, often remotely, with similar basic skills. However, Volunteer Ai Data Trainers typically focus on training AI models through data curation and feedback, while Data Annotators primarily label and categorize data. Both roles are essential in AI development, but their specific tasks and training requirements differ slightly.

How much do volunteer AI Data Trainers make?

Volunteer AI Data Trainers typically do not receive monetary compensation, as their role is unpaid and focused on contributing to AI training datasets. Some organizations may offer stipends or incentives, but most positions are voluntary and aimed at gaining experience or supporting open-source projects.

Is there a demand for volunteer AI data trainers?

There is a growing demand for volunteer AI data trainers as organizations seek to improve machine learning models through data labeling and annotation. These roles often require attention to detail and familiarity with data management tools, and they support the development of AI systems across various industries. Volunteer positions can provide valuable experience and contribute to AI research and development efforts.
More about Volunteer Ai Data Trainer jobs
What cities are hiring for Volunteer Ai Data Trainer jobs? Cities with the most Volunteer 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 Volunteer Ai Data Trainer jobs? States with the most job openings for Volunteer Ai Data Trainer jobs include:
What job categories do people searching Volunteer Ai Data Trainer jobs look for? The top searched job categories for Volunteer Ai Data Trainer jobs are:
Volunteer Ai Data Trainer jobs near you
Infographic showing various Volunteer 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 25 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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