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Flexible Ai Data Collection Jobs (NOW HIRING)

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Data Collection San Jose About Hark Hark is an artificial intelligence company building advanced ... While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ...

$14.30/hr

... flexible, and impactful? We're looking for curious, detail-oriented individuals to join us as AI ... Never complete data collection in a way that would risk injury to you or others. Important: This ...

Data Collection

San Jose, CA · On-site

$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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Flexible Ai Data Collection information

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$16

$25

$31

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

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

Flexible AI Data Collection refers to gathering and preparing various types of data—including text, images, audio, or video—for use in training artificial intelligence (AI) systems. These roles often involve tasks like labeling data, transcribing audio, or categorizing images. The 'flexible' aspect means that work schedules and project types can vary, allowing contributors to choose tasks that fit their availability. Such positions are essential for improving AI accuracy and are typically offered remotely by tech companies or data annotation platforms.

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

To thrive as a Flexible AI Data Collection Specialist, you need strong analytical abilities, attention to detail, and familiarity with data management, often supported by a background in computer science or related fields. Proficiency with data annotation tools, spreadsheet software, and sometimes knowledge of programming languages like Python is typically required. Excellent communication, adaptability, and time management are standout soft skills in this role. These capabilities are crucial for ensuring accurate, high-quality datasets that power effective AI model development.

What are some common challenges faced in a flexible AI data collection role, and how can they be managed?

In a Flexible AI Data Collection position, one of the main challenges is ensuring data quality and consistency while working independently or on varying schedules. Since tasks often involve labeling or collecting data from diverse sources, attention to detail and following precise guidelines are crucial. Communication with project managers or team leads is important when clarifications are needed, and staying organized helps manage multiple tasks efficiently. Regular feedback sessions and utilizing available support resources can help address challenges quickly and maintain high standards.

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

AspectFlexible Ai Data CollectionData Annotator
CredentialsBasic technical skills, familiarity with data collection toolsAttention to detail, understanding of annotation guidelines
Work EnvironmentRemote or on-site, often involves fieldwork or online platformsPrimarily remote, working with annotation software
Industry UsageAI, machine learning, data servicesAI, machine learning, data labeling
Common TasksGathering and organizing data from various sourcesLabeling and annotating data for model training

Flexible Ai Data Collection involves gathering raw data from multiple sources, focusing on data acquisition. In contrast, Data Annotator specializes in labeling and preparing data for AI models. Both roles are essential in AI development but differ in their core responsibilities and skill requirements.

More about Flexible Ai Data Collection jobs

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Cities with the most Flexible Ai Data Collection job openings:

What are the most commonly searched types of Ai Data Collection jobs?

The most popular types of Ai Data Collection jobs are:

What states have the most Flexible Ai Data Collection jobs?

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

Infographic showing various Flexible Ai Data Collection job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

AI Data Collection Specialist

Insight Global

Philadelphia, PA • On-site

$21/hr

Contractor

Medical, Dental, Vision, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Position Title: AI Data Collection Specialist

Duration: 3 Month Contract with potential extensions

Location: Philadelphia, PA 19103

Pay Rate: $22/hour

Schedule: Monday - Friday, 8 AM - 5 PM

Required Skills & Experience

  • High school diploma or equivalent
  • Comfortable using smartphones and mobile technology
  • Strong attention to detail
  • Ability to follow instructions and standardized processes
  • Reliable transportation for local travel

Nice to Have Skills & Experience

  • Experience with data collection, photography, videography, or field operations
  • Experience using cameras, smartphones, or gimbal equipment
  • Coursework in Robotics, Computer Science, AI, Engineering, or related fields
  • Experience supporting robotics, AI, research, or computer vision projects

Job Description

About the Role We are seeking AI Data Collection Specialists to support the development of computer vision, robotics, and artificial intelligence systems. You will travel to assigned collection locations and use an iPhone and gimbal to capture high-quality video and image data of real-world objects — furniture, household items, decorative objects, retail products, sculptures, and other assets used for AI training. This is an excellent opportunity for individuals interested in technology, robotics, AI, photography, or data collection who enjoy hands-on work and attention to detail. Responsibilities Travel to assigned collection locations within the local area Capture video and image data using an iPhone and gimbal Follow collection guidelines and project requirements Record objects from multiple angles and viewpoints Verify data meets quality and completeness standards Document completed collection sessions; charge and secure assigned equipment nightly Complete end-of-day data uploads (approx. 1–2 hours) Report equipment or data quality issues as needed Example Collection Tasks Pots, planters, and decorative items Statues, sculptures, and artwork Chairs, tables, and furniture Household products and consumer goods Kitchen and dining items Retail merchandise Small indoor objects and accessories