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Overnight Ai Data Collection Jobs (NOW HIRING)

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Overnight Ai Data Collection information

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$25

$39

How much do overnight ai data collection jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for overnight ai data collection in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What is an overnight AI data collection specialist?

An Overnight AI Data Collection job involves gathering and organizing data during nighttime hours to support the development and training of artificial intelligence systems. Workers in this role may collect images, audio, text, or other types of data, ensuring accuracy and quality according to specific guidelines. The overnight schedule helps companies process large volumes of data continuously and meet tight deadlines. This role is important for improving the performance and reliability of AI models. It often requires attention to detail, basic computer skills, and the ability to work independently.

What are the key skills and qualifications needed to thrive as an overnight AI data collection specialist?

To thrive as an Overnight AI Data Collection Specialist, you need strong attention to detail, data entry proficiency, and familiarity with data collection methodologies, often supported by a high school diploma or equivalent. Experience with data management tools, spreadsheets, and platforms such as SQL databases or Python scripts is commonly required. Reliability, time management, and effective communication are valuable soft skills for working independently during overnight shifts and ensuring data accuracy. These skills and qualities are essential to maintaining high data quality and supporting robust AI model development in a time-sensitive environment.

What are some common challenges faced by overnight AI data collection specialists, and how can they be managed?

Overnight AI data collection specialists often face challenges such as managing fatigue due to unconventional working hours and ensuring data accuracy during less supervised shifts. It’s important to establish a consistent sleep schedule and take regular breaks to maintain focus. Collaboration with daytime teams through detailed handover notes and communication tools helps ensure continuity and data integrity. Many organizations provide training and support to help manage these challenges and maintain high data quality.

What is the difference between Overnight Ai Data Collection vs Data Annotator?

AspectOvernight Ai Data CollectionData Annotator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site, flexible hours, often overnight shiftsRemote or on-site, regular hours, focused on labeling data
Industry UsageUsed in AI training data collection, especially for image and video dataUsed in AI model training, labeling datasets for machine learning

Overnight Ai Data Collection involves gathering raw data for AI training, often during overnight hours, while Data Annotator focuses on labeling and annotating existing datasets. Both roles are essential in AI development, with overlapping skills but different primary tasks.

How to be an Overnight AI Data Collection?

To work as an Overnight AI Data Collector, you should have strong attention to detail, basic computer skills, and the ability to work flexible hours. The role typically involves gathering, labeling, or verifying data for AI training during overnight shifts, often requiring familiarity with data management tools. Prior experience in data entry or similar tasks can be beneficial, and some positions may require completing a short training or assessment.
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What are the most commonly searched types of Ai Data Collection jobs?

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What states have the most Overnight Ai Data Collection jobs?

States with the most job openings for Overnight Ai Data Collection jobs include:

Infographic showing various Overnight Ai Data Collection 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.

Robotics AI Data Collection Operator (Robot Trainer)

TSMG

Nashville, TN

Full-time

Re-posted 20 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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