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Hourly Advanced Ai Data Trainer Jobs (NOW HIRING)

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

As of Sep 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 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.

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 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.

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What cities are hiring for Hourly Advanced Ai Data Trainer jobs?

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What states have the most Hourly Advanced Ai Data Trainer jobs?

States with the most job openings for Hourly Advanced Ai Data Trainer jobs include:

Infographic showing various Hourly Advanced Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Robotics AI Data Collection Operator (Robot Trainer)

TSMG

San Jose, CA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

About the Role

We are looking for Robotics AI Data Collection Operators to support the development of next-generation intelligent robotic systems.

In this role, you will interact directly with robotic platforms, perform physical tasks, and generate high-quality demonstration data that helps train advanced AI models. Your work will contribute to the development of robots capable of performing real-world tasks in homes, warehouses, manufacturing facilities, and other environments.

Responsibilities
  • Operate robotic systems using teleoperation interfaces and specialized controllers
  • Perform demonstrations of physical tasks to generate training data
  • Execute repetitive tasks with a strong focus on consistency and quality
  • Follow detailed operational procedures and data collection protocols
  • Review recorded demonstrations and identify quality issues
  • Provide feedback on robot performance and task execution
  • Assist with robot setup, calibration, and workspace preparation
  • Maintain accurate records of completed activities
  • Meet daily productivity and quality targets
Example Tasks
  • Picking and placing objects
  • Sorting items into designated containers
  • Opening and closing containers of various sizes
  • Folding clothing and textiles
  • Performing assembly and manipulation tasks
  • Executing multi-step workflows involving tools and components
Requirements
  • Strong attention to detail
  • Good hand-eye coordination and manual dexterity
  • Ability to follow structured procedures
  • Comfortable performing repetitive tasks
  • Basic computer skills
  • Ability to stand or work at a station for extended periods
Nice to Have
  • Experience with robotics or automation systems
  • Manufacturing, assembly, laboratory, or technical experience
  • Gaming or simulation experience using controllers
  • Interest in AI, robotics, or emerging technologies

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.