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Ai Data Labeling Jobs in Arizona (NOW HIRING)

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Deloitte

Cyber Data Protection Manager

Gilbert, AZ · Remote

$110K - $149K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Align Communications

Cabling Associate

Phoenix, AZ

$20.50 - $25.75/hr

... AI and hyperscale data centers across the U.S. This hybrid role blends field leadership with hands ... Perform on-site QA checks for fiber/copper terminations, labeling, routing, and test results while ...

E-Solutions

Microsoft 365 Administrator

Phoenix, AZ · On-site

... sensitivity labels) SharePoint Administration * Administer SharePoint Online sites, hubs ... Optimize prompts, grounding data sources, and AI responses for accuracy and relevance * Ensure ...

The Archetype Strategy

Lead Technician

Phoenix, AZ · On-site

$40K - $51K/yr

... data center environment. This position requires strong leadership, technical skills, and a ... Ability to read and interpret construction drawings, cable maps, and labeling schedules * Clear ...

Align Communications

Cabling Associate

Phoenix, AZ · On-site

$20.50 - $25.75/hr

... AI and hyperscale data centers across the U.S. This hybrid role blends field leadership with hands ... Perform on-site QA checks for fiber/copper terminations, labeling, routing, and test results while ...

Acronis

Junior Infrastructure Engineer

Tempe, AZ · On-site

$58K/yr

As a Junior Data Center Infrastructure Engineer, you will support day-to-day operational tasks ... Maintain and improve cabling organization and labeling * Follow established procedures for hardware ...

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All JobsAi Data Labeling JobsAi Data Labeling Jobs in Arizona

Ai Data Labeling information

See Arizona salary details

$10

$45

$105

How much do ai data labeling jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai data labeling in Arizona is $45.90, according to ZipRecruiter salary data. Most workers in this role earn between $17.27 and $67.91 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 AI research director, senior data scientist, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles usually involve leading projects, developing algorithms, and strategic decision-making in AI development, with compensation reflecting the seniority and impact of the position.

What is an AI Data Labeling job?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

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

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

How much do AI labelers make?

AI data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or part-time, often requiring familiarity with labeling tools and attention to detail.

What does an AI data labeler do?

An AI data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. This role requires attention to detail and familiarity with labeling tools, often working remotely with flexible schedules. Accurate labeling is essential for improving AI system performance.

Is data labelling a good career?

Data labeling is a viable entry-level job in the AI industry, involving annotating data to train machine learning models. It requires attention to detail and familiarity with labeling tools, and can offer flexible schedules and remote work options. However, it is often considered a stepping stone to more advanced roles in data science or AI development.

What are typical daily tasks for an AI Data Labeling professional?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What are the most commonly searched types of Ai Data Labeling jobs in Arizona? The most popular types of Ai Data Labeling jobs in Arizona are:
What are popular job titles related to Ai Data Labeling jobs in Arizona? For Ai Data Labeling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling jobs in Arizona look for? The top searched job categories for Ai Data Labeling jobs in Arizona are:
What cities in Arizona are hiring for Ai Data Labeling jobs? Cities in Arizona with the most Ai Data Labeling job openings:
Ai Data Labeling jobs near you
Infographic showing various Ai Data Labeling job openings in Arizona as of July 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,465 per year, or $45.9 per hour.

Senior Software Engineer, Auto Labelling

Waabi

Phoenix, AZ • On-site, Remote

$170K - $220K/yr

Full-time

Posted 28 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
Qualifications:
- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
- 3+ years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
- Open-minded and collaborative team player with the willingness to help others.
 
Bonus/nice to have:
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
- Experience working with large Vision-Language Models (VLMs)
The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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.