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Ai Data Labeling Remote Jobs in Arizona (NOW HIRING)

micro1 AI

AI Data Trainer - MS Suite - Remote

Mesa, AZ · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Phoenix, AZ · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Tucson, AZ · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

Initio Capital

Software Market Analyst

Phoenix, AZ · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

micro1 AI

Business Document AI Trainer - Remote

Mesa, AZ · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... data-driven reporting, tailored to your industry background. * Document findings and provide ...

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... About the role Role Overview As the AI GTM Specialist, Data & Analytics you will be the primary ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Buckeye, AZ · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Tucson, AZ · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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All JobsAi Data Labeling JobsAi Data Labeling Remote JobsAi Data Labeling Remote Jobs in Arizona

Ai Data Labeling Remote information

See Arizona salary details

$22.3K

$95.2K

$219.9K

How much do ai data labeling remote jobs pay per year?

As of Jul 30, 2026, the average yearly pay for ai data labeling remote in Arizona is $95,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,407.00 and $141,262.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by AI Data Labeling Remote professionals, and how can they be overcome?

Remote AI data labeling professionals often encounter challenges such as maintaining attention to detail over repetitive tasks and ensuring consistent quality across large datasets. To overcome these challenges, it's helpful to take regular breaks, stay organized with task management tools, and actively communicate with your team leaders about any uncertainties or edge cases in the data. Many teams provide detailed guidelines and ongoing feedback to support accuracy and minimize errors. Adhering to best practices and engaging in regular check-ins with supervisors can help maintain motivation, ensure consistent performance, and contribute positively to team goals.

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

To thrive as an AI Data Labeling Remote professional, you need keen attention to detail, strong organizational skills, and familiarity with data annotation concepts, typically supported by a high school diploma or relevant experience. Proficiency with common labeling tools like Labelbox, Supervisely, or proprietary platforms, and a basic understanding of data privacy and security protocols, are often required. Consistency, reliability, time management, and clear communication are crucial soft skills that set candidates apart. These abilities ensure high-quality, accurate labeling of datasets, which is critical for training effective and unbiased AI models.

What is an AI Data Labeling Remote job?

An AI Data Labeling Remote job involves annotating data, such as images, text, audio, or videos, to help train machine learning models. Tasks may include drawing bounding boxes, categorizing content, or transcribing text with accuracy. This role is typically performed online, allowing individuals to work from home with flexible hours. Strong attention to detail and familiarity with labeling tools are essential for success in this position.

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 Remote jobs in Arizona? For Ai Data Labeling Remote jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling Remote jobs in Arizona look for? The top searched job categories for Ai Data Labeling Remote jobs in Arizona are:
What cities in Arizona are hiring for Ai Data Labeling Remote jobs? Cities in Arizona with the most Ai Data Labeling Remote job openings:
Ai Data Labeling Remote jobs near you
Infographic showing various Ai Data Labeling Remote job openings in Arizona as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $95,168 per year, or $45.8 per hour.

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Re-posted 16 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.