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Ai Data Collection Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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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AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... Define Data Collection Priorities * Identify lifecycle gaps: Maintain a clear, comprehensive view ...

Experience with performing data collection on building systems (HVAC, refrigeration, point of sale ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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Ai Data Collection information

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How much do ai data collection jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and leadership responsibilities.

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

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

Which AI job is high paying?

In AI data collection, roles that involve managing large datasets, developing data pipelines, or working with advanced tools like machine learning frameworks tend to be higher paying. Positions requiring specialized skills, certifications, or experience in data annotation, labeling, or quality assurance often command higher salaries due to their technical complexity and importance in AI development.

What is an AI Data Collection job?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

Which 3 jobs will survive AI?

AI Data Collection specialists are likely to continue to be in demand as they gather and annotate data essential for training AI models. Jobs that require complex human judgment, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to replicate fully.

What is an AI data collection job?

An AI data collection job involves gathering and labeling data such as images, text, or audio to train machine learning models. Workers often use online platforms, require attention to detail, and may need basic knowledge of data annotation tools or guidelines.

What are the key skills and qualifications needed to thrive in the Ai Data Collection position, and why are they important?

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

More about Ai Data Collection jobs
What cities are hiring for Ai Data Collection jobs? Cities with the most 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 Ai Data Collection jobs? States with the most job openings for Ai Data Collection jobs include:
Infographic showing various Ai Data Collection job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.
Data Solutions Lead, Data Collection Excellence

Data Solutions Lead, Data Collection Excellence

Amazon

Boston, MA

Full-time

Posted 16 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

As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them.
Key job responsibilities
Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
Coordinate across teams to ensure seamless delivery and stakeholder alignment
Own relationships with customer scientists, becoming their go-to partner for ML data solutions
Provide consultation on ML workflow capabilities, helping customers maximize value
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:
Guide customers on workflow feasibility and data collection best practices
Collaborate with implementation teams to define and validate technical requirements
Evaluate scalability of annotation scenarios and provide strategic recommendations
Influence technical documentation and guidelines


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