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Remote Data Labeling Analyst Jobs in Gilbert, AZ

vTech Solution

Help Desk Analyst Remote

Phoenix, AZ · Remote

$21 - $28.75/hr

Job Title: Help Desk Analyst Location: Remote (Phoenix, AZ) Job Type: Contract - 6 Months ... Assists with data integrity compliance audits. Runs reports to show data integrity errors. Works ...

New

Initio Capital

Software Market Analyst

Phoenix, AZ · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

XTG

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 ...

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Remote Data Labeling Analyst information

See Gilbert, AZ salary details

$33.9K

$82.4K

$135.6K

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

As of Aug 8, 2026, the average yearly pay for remote data labeling analyst in Gilbert, AZ is $82,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

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 Gilbert, AZ? The most popular types of Data Labeling Analyst jobs in Gilbert, AZ are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Gilbert, AZ? For Remote Data Labeling Analyst jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Gilbert, AZ look for? The top searched job categories for Remote Data Labeling Analyst jobs in Gilbert, AZ are:
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Remote Data Labeling Analyst jobs near you

Business Intelligence Analyst- Data Engineering Specialist

Tigunia LLC

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description


Department/Division: Business Intelligence

Position Title: Business Intelligence Analyst

Area of Focus (Sub Team): Data Engineering Specialist

Position Location: Phoenix, Arizona (Remote)

Tigunia Core Values: To produce results, solve your problems with a sense of urgency, treat clients and co-workers with respect, and foster long-term relationships.

Position Description (Abstract):


Tigunia is seeking a technically focused Business Intelligence Analyst with a specialization in data engineering and warehouse modeling. This role is ideal for someone who enjoys building scalable data infrastructure, working with modern data tools, and developing clean, reliable models that power reporting and analytics. While the role is primarily technical, it also includes client-facing responsibilities, including leading smaller engagements and collaborating with stakeholders to ensure solutions meet business needs.

You will work closely with internal teams and clients as a consultant to design and implement integrated data warehouse models, develop transformation logic in Python and SQL, and support reporting platforms like Power BI, Tableau, and Jet Reports. This is a hands-on role requiring strong communication skills, technical depth, and a passion for clean, maintainable solutions.

Key Responsibilities:

  • Design and implement scalable, integrated data warehouse models incorporating data from Business Central and other sources
  • Develop and maintain data pipelines using Python, SQL, and modern ETL tools
  • Lead smaller client engagements, including requirements gathering and solution delivery
  • Collaborate with reporting specialists to ensure data models support business KPIs and visualization needs
  • Define and document transformation logic, data mappings, and warehouse specifications, adhere to modeling standards and governance practices
  • Support report development in Power BI and Jet Reports as needed
  • Troubleshoot data quality issues and optimize performance of data models
  • Use GitHub for version control, collaboration, and documentation of data engineering workflows

Ideal Candidate Profile:

  • Strong technical problem-solver with a passion for data architecture and engineering
  • Comfortable working independently and managing priorities across multiple projects
  • Experienced in client engagement and capable of leading smaller projects
  • Detail-oriented and committed to producing clean, well-documented solutions


Required Skills & Experience:

  • 4+ years of experience in data engineering, BI development or related roles
  • Experience with ERP data structures and warehouse modeling
  • Proficiency in Python and SQL for data transformation and analysis
  • Strong experience with Mage.AI, dbt, Microsoft SQL Server, Snowflake, or Microsoft Fabric
  • Experience using GitHub for version control, collaboration, and workflow management
  • Strong understanding of dimensional modeling and the Kimball methodology
  • Experience with documentation, versioning, and data governance practices


Bonus Qualifications:

  • Previous experience as a Business Intelligence (BI) Consultant, with strong understanding of analytics and reporting
  • Hands-on experience with data governance and metadata management tools, such as: Microsoft Purview, DataHub, OpenMetadata, or Apache Atlas
  • Familiarity with Microsoft Business Central and its data structure
  • Exposure to various reporting platforms such as: Tableau, Domo, Sigma, Superset, etc.


Current Example of Benefits:

  • Competitive salary
  • Health insurance for yourself and your family – 100% employer paid for employee and 50% employer paid for dependents
  • Dental and Vision insurance for yourself and your family – 100% employer paid for employee and dependents
  • Life/AD&D Insurance for yourself – 100% employer paid and covers 100% of your salary
  • Short Term Disability for yourself – 100% employer paid and covers 60% of your weekly salary
  • Long Term Disability for yourself – 100% employer paid and covers 60% of your monthly salary
  • 401k with 4% match
  • Flex-time and paid time off to promote a healthy work-life balance


Tigunia provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors.