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Full Time Advanced Ai Data Trainer Jobs (NOW HIRING)

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Full Time Advanced Ai Data Trainer information

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

As of Aug 14, 2026, the average hourly pay for full time 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 Full Time Advanced Ai Data Trainer vs Data Analyst?

AspectFull Time Advanced Ai Data TrainerData Analyst
CredentialsRelevant certifications in AI, machine learning, data scienceDegree in statistics, data analysis, or related field
Work EnvironmentTech companies, AI labs, data training centersBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data for insights

While both roles involve working with data, a Full Time Advanced Ai Data Trainer focuses on training AI models through data annotation and validation, whereas a Data Analyst interprets data to generate business insights. The former requires specialized AI certifications, while the latter often has a background in statistics or data analysis. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are some common challenges faced by full time advanced AI data trainers, and how can they be addressed?

Full Time Advanced AI Data Trainers often encounter challenges such as maintaining high annotation accuracy, keeping up with rapidly evolving AI technologies, and handling large, complex datasets. To address these, it’s important to establish clear annotation guidelines, participate in regular team syncs to share best practices, and leverage automated tools to streamline repetitive tasks. Collaboration with data scientists and engineers is also key to ensuring the training data aligns with project goals, enabling continuous learning and improvement in the role.

What is a full time advanced AI data trainer?

A Full Time Advanced AI Data Trainer is a professional who specializes in preparing, labeling, and curating data used to train advanced artificial intelligence (AI) models. They work closely with data scientists and machine learning engineers to ensure that datasets are accurate, high-quality, and representative for the intended AI application. Their responsibilities may include annotating data, identifying patterns or anomalies, maintaining data integrity, and sometimes developing guidelines for data labeling. This role often requires strong analytical skills, attention to detail, and familiarity with AI concepts and tools. Full-time data trainers are essential in improving the performance and reliability of AI systems.

What are the key skills and qualifications needed to thrive as a full time advanced AI data trainer?

To excel as a Full Time Advanced AI Data Trainer, you generally need a background in data science, machine learning, and strong analytical abilities, often supported by a relevant degree or technical certification. Familiarity with annotation tools, programming languages like Python, and AI platforms such as TensorFlow or PyTorch is typically required. Attention to detail, problem-solving, and effective communication are vital soft skills for managing complex data and collaborating with AI development teams. These skills and qualities are crucial for ensuring high-quality data labeling, which directly impacts the accuracy and performance of AI models.
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Infographic showing various Full Time Advanced Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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

Fremont, CA • On-site

Full-time

Re-posted 12 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.
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