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Remote Data Labeling Analyst Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

... analytics, data migration, and operational decision-making. This role works within established ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Data Engineer

Phoenix, AZ · Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

Data Engineer

Phoenix, AZ · Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

Remote or Hybrid or Onsite What you will do The Senior Financial Analyst is a key member of Stryker ... Working knowledge of data collection, data analysis, evaluation, and validation preferred.

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR If advanced degree in a STEM discipline, 6 or more years' experience in data and analytics ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR If advanced degree in a STEM discipline, 6 or more years' experience in data and analytics ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Develop and maintain data models to support analytics, reporting, and crossfunctional business ...

Data Engineer III

Chandler, AZ · Remote

$91K - $119K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Develop and maintain data models to support analytics, reporting, and crossfunctional business ...

Sr. Growth Analytics Analyst

Tempe, AZ · On-site +1

$85K - $113K/yr

Your insights will guide stakeholders as they build a world-class, data-driven organization. What ... More details about our company benefits can be found at This opportunity can be remote, but ...

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Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

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Remote Data Labeling Analyst information

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Arizona? The most popular types of Data Labeling Analyst jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Labeling Analyst jobs? Cities in Arizona with the most Remote Data Labeling Analyst job openings:
Infographic showing various Remote Data Labeling Analyst job openings in Arizona as of June 2026, with employment types broken down into 2% As Needed, 93% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

XTG

Phoenix, AZ • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and operational decision-making. This role works within established architectural frameworks while contributing to the continued modernization of XTG’s data platform. This role plays a key part in supporting the organization’s transition to modern cloud-based data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data integration initiatives.

The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and design engineering services industries.  XTG is part of the TTI Family of Companies. This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham

ACCOUNTABILITIES: 

Design, develop, test, and maintain data pipelines, dataflows, notebooks, and integration processes across enterprise systems.

Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns.

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes.

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, operational, and third-party systems.

Partner with business stakeholders, analysts, and application teams to clarify data requirements and translate them into technical solutions.
Support data migration and integration efforts related to Dynamics 365 and other enterprise platform initiatives.
Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.
Implement data quality checks, validation rules, logging, error handling, and monitoring within data pipelines.
Troubleshoot and resolve issues related to data accuracy, pipeline failures, source system changes, performance, and integration errors.
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns.
Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets.
Collaborate with reporting and analytics teams to support Power BI semantic models, dashboards, and enterprise reporting needs.
Provide guidance and support to junior team members, analysts, or business users as needed.
Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.
Additional duties as assigned.

 

EDUCATION & EXPERIENCE

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent professional experience.

4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration.

Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud-based analytics platforms.

Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred.

Experience supporting data migration, system integration, or enterprise reporting initiatives preferred.

SKILLS & CERTIFICATIONS

  • Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic.
  • Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms.
  • Working knowledge of Power BI, semantic models, data modeling, and reporting data structures.
  • Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders.
  • Strong documentation skills, including technical designs, data mappings, source-to-target logic, and operational procedures.
  • Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling.
  • Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals preferred but not required.

What we offer our team members: 

  • A great benefits package that includes (but is not limited to): Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts.
    Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.
  • Great culture and opportunities for growth and advancement.

This is a summary of the primary accountabilities and requirements for this position.  The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs.  Any part of this job descriptions is subject to possible modification to reasonably accommodate individuals with disabilities. 

This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. ‘Green Card Holder’), Political Asylee, or Refugee.

Visa sponsorship is not available for this role.  Only candidates authorized to work in the United States will be considered. 

 XTG is an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program.