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Temporary Ai Data Collection Jobs (NOW HIRING)

Hark

Data Collection

San Jose, CA

$150K - $250K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines ...

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

As of Sep 3, 2026, the average hourly pay for temporary 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 is temporary AI data collection?

Temporary AI data collection is a short-term job where individuals gather, label, or organize data used to train artificial intelligence systems. This can involve tasks such as taking photos, recording audio, transcribing text, or annotating images and videos according to specific guidelines. The work is often project-based and helps improve the accuracy and performance of AI models. People in these roles play a vital part in ensuring that AI systems learn from diverse, well-organized, and correctly labeled data.

What does a typical day look like for someone in a temporary AI data collection role?

In a Temporary AI Data Collection position, your daily tasks often involve gathering, labeling, and organizing large sets of data—such as images, text, or audio—that will be used to train machine learning models. You may work independently or as part of a team, following specific guidelines to ensure data accuracy and consistency. Attention to detail is crucial, as even small errors can impact the quality of AI systems. Collaboration with project managers or data scientists is common, especially when clarifying data requirements or resolving ambiguities. The work environment is typically fast-paced, with clear deadlines and performance metrics to meet.

What are the key skills and qualifications needed to thrive as a temporary AI data collection specialist, and why are they important?

To thrive as a Temporary AI Data Collection Specialist, you need attention to detail, basic data entry skills, and the ability to follow structured guidelines, often with a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and cloud-based collaboration tools is typically required. Reliability, adaptability, and strong communication skills help ensure accurate data collection and effective teamwork. These skills are important for producing high-quality datasets that improve AI models and support project goals.

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

AspectTemporary Ai Data CollectionData Annotator
CredentialsBasic computer skills, sometimes familiarity with data collection toolsAttention to detail, basic technical skills, sometimes training in annotation tools
Work EnvironmentRemote or on-site, often flexible hoursRemote or on-site, focused on labeling data
Industry UsageUsed in AI training data gathering, machine learning projectsUsed in preparing datasets for AI models, image/video/text annotation

Temporary Ai Data Collection involves gathering raw data for AI training, often requiring data sourcing skills. Data Annotator focuses on labeling and annotating data to make it usable for machine learning. Both roles are essential in AI development but differ in their specific tasks and skill requirements.

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Temporary Ai Data Collection jobs near you
Infographic showing various Temporary Ai Data Collection job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

Robotics AI Data Collection Operator (Robot Trainer)

TSMG Holding

San Mateo, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
TSMG Holding is seeking 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 and generate high-quality demonstration data that helps train advanced AI models.
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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
TSMG is an operations partner for AI, robotics, and autonomous programs. Founded in 2018, the company is headquartered in Warsaw, POL, with a team of 201-500 employees. The company is currently Growth Stage.

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