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Freelance Ai Data Collection Jobs (NOW HIRING)

Figure

Data Strategy Associate

San Jose, CA · On-site

$100K - $180K/yr

Report deployment progress and metrics to the AI Data Collection Manager Requirements: * 3-5 years in program management (especially for operations), consulting, investment banking, startup project ...

Figure

Data Strategy Associate

San Jose, CA

$100K - $180K/yr

Report deployment progress and metrics to the AI Data Collection Manager Requirements: * 3-5 years in program management (especially for operations), consulting, investment banking, startup project ...

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

... of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work ... Experience in one or more of the following areas: machine learning tasks, data collection and ...

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

... of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work ... Experience in one or more of the following areas: machine learning tasks, data collection and ...

Figure AI

AI Data Operations Lead

San Jose, CA · On-site

$175K - $200K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting ...

TSMG

MH

The project is expected to last from 3 to 6 months and will cover different data collection areas ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Freelance Ai Data Collection information

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

As of Jul 2, 2026, the average hourly pay for freelance ai data collection in the United States is $20.20, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Freelance Ai Data Collection vs Freelance Data Annotation?

AspectFreelance Ai Data CollectionFreelance Data Annotation
CredentialsBasic data handling skills, familiarity with data sourcesAttention to detail, understanding of annotation tools
Work EnvironmentRemote, independent data gatheringRemote, using annotation platforms
Industry UsageCollecting raw data for AI modelsLabeling and annotating data for training AI

Freelance Ai Data Collection involves gathering raw data from various sources, while Freelance Data Annotation focuses on labeling data to train AI models. Both roles are remote and require attention to detail, but they serve different stages in AI development.

What are some common challenges faced by freelance AI data collectors, and how can they be addressed?

Freelance AI data collectors often encounter challenges such as meeting strict quality standards, managing inconsistent workloads, and ensuring data privacy. To address these, it's important to closely follow project guidelines, communicate proactively with project managers, and stay organized with time management tools. Additionally, familiarizing yourself with data protection best practices and seeking feedback can help improve your performance and reliability on future projects.

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

To excel as a Freelance AI Data Collection Specialist, you need strong analytical skills, attention to detail, and familiarity with data entry or annotation tasks, often supported by a background in computer science or related fields. Proficiency with data labeling tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker Ground Truth is typically required. Excellent communication, reliability, and the ability to follow nuanced guidelines help freelancers stand out in this role. These skills ensure the delivery of high-quality, accurate datasets that are essential for effective AI model training.

What is freelance AI data collection?

Freelance AI data collection involves gathering and labeling data—such as images, text, audio, or video—that is used to train artificial intelligence and machine learning models. Freelancers in this field are typically hired by companies or research organizations to collect, organize, and sometimes annotate large datasets according to specific guidelines. The work can range from recording voice samples to tagging objects in photographs, ensuring that the data is accurate and diverse. This role is essential for improving the performance and reliability of AI systems across various applications.
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Freelance Ai Data Collection jobs near you
Infographic showing various Freelance Ai Data Collection job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,020 per year, or $20.2 per hour.
Data Solutions Lead Manager, Data Collection Excellence

Data Solutions Lead Manager, Data Collection Excellence

Amazon

Bellevue, WA • On-site

Full-time

Posted 26 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,921 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Are you passionate about bridging the gap between technical ML solutions and customer success. Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships. Do you enjoy leading dynamic and fast paced teams with global impact.

We're looking for a Data Solutions Lead Managers to join our growing team!
About the Role:
As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them.
Key job responsibilities
Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations
Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products
Own global program improvement initiatives for the Data Collection Excellence Organization
Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery
Monitor and optimize collection health metrics to ensure customer success
Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
You'll also:
Act as an escalation point for challenging data collections, directly assisting senior level customers and your team


Collaborate with product and technology teams to implement effective long term solutions
Consolidate customer feedback and translate it into improvement initiatives

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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