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Day Shift Ai Data Collection information

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$25

$31

How much do day shift ai data collection jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for day shift ai data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Day Shift AI Data Collection?

In a Day Shift AI Data Collection role, your day typically involves gathering, labeling, and organizing various types of data—often images, text, or audio—that will be used to train AI models. You'll work closely with data engineers and machine learning teams to ensure the data is accurate, high-quality, and collected according to project specifications. Collaboration with team members is common, especially when troubleshooting data inconsistencies or meeting tight project deadlines. Attention to detail and the ability to follow protocols are crucial, as your work directly impacts the performance of AI systems.

What is the difference between Day Shift Ai Data Collection vs Data Labeling Specialist?

AspectDay Shift Ai Data CollectionData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; daytime hoursOffice or remote; daytime hours
Industry UsageAI training data collection for machine learningAnnotating and labeling data for AI models
Job FocusGathering raw data through various methodsAdding labels and annotations to datasets

Day Shift Ai Data Collection involves gathering raw data for AI training, while Data Labeling Specialists focus on annotating that data. Both roles often work in similar environments and require comparable skills, but their core tasks differ in data handling stages.

What is a Day Shift AI Data Collection job?

A Day Shift AI Data Collection job typically involves gathering, organizing, and labeling data during regular daytime hours to help train and improve artificial intelligence systems. Workers in this role may be required to collect data from various sources, verify its accuracy, and ensure it is properly formatted for use by AI models. This job is important because high-quality data is essential for developing reliable and effective AI applications. The tasks may include image tagging, audio transcription, or collecting text data, depending on the specific project requirements.

What are the key skills and qualifications needed to thrive as a Day Shift AI Data Collection Specialist, and why are they important?

To excel as a Day Shift AI Data Collection Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data collection protocols, often supported by a high school diploma or relevant experience. Proficiency with data entry software, spreadsheet tools like Microsoft Excel or Google Sheets, and sometimes specialized data annotation platforms is typically required. Reliability, time management, and effective communication are essential soft skills for maintaining data quality and collaborating with team members. These skills ensure accurate, efficient data gathering which is critical for developing robust AI models and supporting organizational goals.
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Day Shift Ai Data Collection jobs near you

Robotics AI Data Collection Operator (Robot Trainer)

TSMG

Fremont, CA

Full-time

Posted 3 days ago

Be an early applicant

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.