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Advanced Ai Data Trainer Jobs (NOW HIRING)

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we ... Exposure to advanced LLMs and how they're trained. * Freelance perks: autonomy, flexibility, and ...

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 ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise could directly influence how the world's most advanced AI systems reason, plan, and solve problems ...

Alignerr

Computer Engineering

Dallas, TX · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer Type : Hourly Contract Compensation : $35-$60 /hour Location : Remote Commitment : 10-40 hours/week What You'll Do: * Develop Complex Problems: Design advanced ...

Alignerr

Computer Engineering

Denver, CO · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer Type : Hourly Contract Compensation : $35-$60 /hour Location : Remote Commitment : 10-40 hours/week What You'll Do: * Develop Complex Problems: Design advanced ...

Alignerr

Computer Engineering

Chicago, IL · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer Type : Hourly Contract Compensation : $35-$60 /hour Location : Remote Commitment : 10-40 hours/week What You'll Do: * Develop Complex Problems: Design advanced ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... Build deep, practical insight into how the world's most advanced AI models are trained * Potential ...

Gerber Collision & Glass

Data & AI Architect

Elmhurst, IL · On-site

$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 · On-site

$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 ...

Mitchell Martin

General AI Lead

Manhattan, NY

$17.75 - $24.25/hr

You will be responsible for leading the development and implementation of advanced AI data platforms, focusing on market data integration and workflow management. This role requires expertise in ...

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Advanced Ai Data Trainer information

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

As of Jun 20, 2026, the average hourly pay for 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 are the key skills and qualifications needed to thrive in the Advanced Ai Data Trainer position, and why are they important?

To thrive as an Advanced AI Data Trainer, you need a strong foundation in data annotation, machine learning concepts, and programming skills—often backed by a relevant degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, data labeling software, and experience in quality assurance processes are highly beneficial, and certifications in AI or data science can strengthen your profile. Excellent attention to detail, communication, and problem-solving abilities help you collaborate effectively and ensure data accuracy. These skills are crucial for building high-quality datasets that enable the development and refinement of advanced AI models.

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

A typical day for an Advanced AI Data Trainer involves labeling and curating data, reviewing and refining datasets for accuracy, and collaborating with data scientists, machine learning engineers, and subject matter experts. You may conduct quality checks, develop annotation guidelines, and provide feedback to ensure data consistency. Often, you'll juggle multiple projects simultaneously and participate in meetings to discuss project requirements or data-specific challenges. This role is dynamic and requires continuous learning to keep up with evolving AI technologies and best practices.

What is an Advanced AI Data Trainer job?

An Advanced AI Data Trainer is responsible for training, refining, and improving AI models by curating, labeling, and analyzing datasets. They ensure AI systems generate accurate and meaningful responses by reviewing outputs, identifying errors, and providing corrective feedback. This role requires strong analytical skills, attention to detail, and an understanding of machine learning concepts. Trainers collaborate with engineers and data scientists to enhance model performance and align AI outputs with real-world applications.

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Advanced Ai Data Trainer jobs near you
Infographic showing various Advanced Ai Data Trainer job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% 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

$63.50 - $81.75/hr

Other

Posted 15 days 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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