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Hourly Advanced Ai Data Trainer Jobs (NOW HIRING)

MMD Services, Inc

AI & Data Engineering Architect

Elmhurst, IL · On-site

$63.50 - $81.75/hr

This role plays a critical part in designing and evolving modern data platforms and analytics solutions, ensuring they effectively support both operational intelligence and advanced AI use cases. The ...

NewRocket

AI Data Intelligence Lead

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI ...

NewRocket

AI Data Intelligence Lead

OR · Remote

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI ...

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 ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site +1

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

The Boyd Group

Data & AI Architect

Elmhurst, IL · On-site

$145K - $160K/yr

Advanced AI Patterns: Familiarity with AI-driven Software Development Life Cycle (SDLC) enhancements and testing automation. * Data & BI Ecosystem: Knowledge of leading platforms beyond the core ...

Gerber Collision & Glass

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

Advanced AI Patterns: Familiarity with AI-driven Software Development Life Cycle (SDLC) enhancements and testing automation. * Data & BI Ecosystem: Knowledge of leading platforms beyond the core ...

The Boyd Group

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

Advanced AI Patterns: Familiarity with AI-driven Software Development Life Cycle (SDLC) enhancements and testing automation. Data & BI Ecosystem: Knowledge of leading platforms beyond the core stack ...

Honeywell

Advanced AI Engineer

Mount Holly, NC · Hybrid

As an Advanced AI Engineer , you will design, develop, and deploy cutting-edge AI solutions with a ... including data ingestion, feature engineering, model training, evaluation, and inference.

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Hourly Advanced Ai Data Trainer information

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

As of Jul 4, 2026, the average hourly pay for hourly advanced 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 the difference between Hourly Advanced Ai Data Trainer vs Data Analyst?

AspectHourly Advanced Ai Data TrainerData Analyst
Required CredentialsRelevant certifications in AI, data science, or machine learning; often includes specialized trainingBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentRemote or on-site, focused on training AI models, data labeling, and model validationOffice or remote, analyzing datasets, creating reports, and providing insights
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, marketing, and various industries requiring data insights

While both roles involve working with data, the Hourly Advanced Ai Data Trainer specializes in training AI models and data labeling, often requiring AI-specific certifications. Data Analysts focus on interpreting data, creating reports, and providing insights across industries. The roles differ mainly in their focus on AI training versus data analysis, though they share foundational data skills.

How do Hourly Advanced AI Data Trainers typically collaborate with engineering and data science teams to ensure data quality?

Hourly Advanced AI Data Trainers often work closely with engineering and data science teams to clarify annotation guidelines, resolve ambiguous cases, and provide feedback on data quality. Regular sync meetings or communication via project management tools are common, ensuring that trainers' insights help improve model training and accuracy. This collaboration fosters a shared understanding of project goals and enables prompt resolution of any data-related challenges, making the workflow more efficient and robust.

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

To thrive as an Hourly Advanced AI Data Trainer, you generally need expertise in data annotation, a solid understanding of AI/ML concepts, and strong analytical skills, often supported by a relevant degree or experience in computer science or linguistics. Familiarity with annotation platforms, data labeling tools, and sometimes programming languages like Python is typically expected. Attention to detail, effective communication, and the ability to follow complex guidelines are crucial soft skills for excelling in this role. These skills ensure high-quality, accurate data that directly impacts the performance and reliability of AI models.

What is an Hourly Advanced AI Data Trainer?

An Hourly Advanced AI Data Trainer is a professional who works on labeling, annotating, and refining data to train advanced artificial intelligence models. They use specialized tools and follow detailed guidelines to ensure that data fed to AI systems is accurate and relevant. This role often involves reviewing large sets of text, images, or other data types, identifying patterns, and correcting errors to improve AI performance. Paid on an hourly basis, these trainers help AI systems become more accurate and effective in understanding and generating human-like responses.
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Hourly Advanced Ai Data Trainer jobs near you
Infographic showing various Hourly Advanced Ai Data Trainer job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 49% Full Time, 22% Part Time, 17% Contract, and 6% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
AI & Data Engineering Architect

AI & Data Engineering Architect

MMD Services, Inc

Elmhurst, IL • On-site

$63.50 - $81.75/hr

Other

Posted 1 hour ago

Job description

The AI & Data Engineering Architect is a strategic and high-impact role responsible for advancing organizational AI capabilities and optimizing the data ecosystem that enables them. This position focuses on defining and implementing scalable architecture patterns, tools, governance frameworks, and processes that support AI adoption and data-driven decision-making.

This role plays a critical part in designing and evolving modern data platforms and analytics solutions, ensuring they effectively support both operational intelligence and advanced AI use cases.

The AI & Data Engineering Architect works cross-functionally with enterprise architecture, data engineering, analytics, and business stakeholders to develop and execute a cohesive AI and data strategy aligned with organizational goals.

Position Summary:

  • Define and execute AI & data strategy in partnership with architecture, data, and business leaders.
  • Develop and maintain a multi-year roadmap covering capabilities, tools, and infrastructure.
  • Design scalable AI solutions (e.g., GenAI, RAG, agent-based systems, LLM orchestration).
  • Evaluate emerging AI technologies and their impact on development and productivity.
  • Lead Proof of Concepts to test new approaches and transition successful solutions to production.
  • Define and evolve scalable, cloud-based data platforms for analytics and AI.
  • Architect ETL/ELT pipelines and data models for real-time and historical use cases.
  • Establish governance standards for data quality, security, and responsible AI usage.
  • Enable BI and self-service analytics with clean, governed data.
  • Optimize systems for performance, scalability, and reliability.

Experience

  • Hands-on experience designing and implementing AI/ML solutions, particularly with Generative AI and LLM-based applications.
  • Strong background in data architecture, data engineering, or related fields, with expertise in data modeling, warehousing, and distributed systems.
  • Proficiency in cloud platforms (e.g., AWS, Azure, or Google Cloud Platform), along with strong programming and query skills (e.g., Python, SQL).
  • Proven ability to work across technical and business teams to translate requirements into scalable data and AI solutions.
  • Familiarity with leading AI platforms, tools, and vendors, including emerging startups and LLM providers.
  • Experience with advanced AI architectures, automation in the software development lifecycle, and AI-driven testing approaches.
  • Experience with modern data platforms (e.g., Snowflake, Databricks) and BI tools (e.g., Power BI, Tableau, Qlik).
  • Awareness of trends such as natural language-driven development, agentic workflows, and context-sharing protocols.

MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.

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