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Home Based Data Labeling Jobs in Arizona (NOW HIRING)

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

... based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large ... Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter ...

Guide ingestion and integration strategies, including API-based data exchange * Lead without direct ... at home and at work. * We offer competitive benefit programs that help meet our diverse and ...

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Explore entity extraction, rule-based labeling, embedding-based features, etc. Visualizations & Storytelling: * Create dashboards and data visualizations using Power BI or Python to communicate ...

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Home Based Data Labeling information

What is the difference between Home Based Data Labeling vs Data Annotation Specialist?

AspectHome Based Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires familiarity with annotation tools
Work EnvironmentRemote, home-basedRemote or office-based, depending on employer
Industry UsageCommon in AI training data preparationUsed in AI, machine learning, and data science projects
Search IntentLooking for remote data labeling jobsSearching for data annotation roles or projects

Home Based Data Labeling involves individuals performing labeling tasks remotely, often with minimal credentials. Data Annotation Specialists may have similar skills but can work in more structured environments or with specialized tools. Both roles support AI development and are popular in remote work settings, with overlapping skills but slight differences in job scope and environment.

How much does data labeling pay?

Home based data labeling jobs typically pay between $10 and $20 per hour, depending on the complexity of the tasks and the employer. Pay rates can vary based on experience, the platform used, and whether the work is paid per task or hourly.

Is data labeling a good career?

Data labeling is a common entry-level job in the data annotation industry, involving categorizing and tagging data for machine learning models. It often offers flexible schedules and requires attention to detail, but typically has low to moderate pay and limited career advancement without additional skills or certifications.

Is data labeling work from home?

Yes, data labeling jobs are often performed remotely, allowing workers to complete tasks from home using a computer and internet connection. These roles typically require attention to detail and familiarity with labeling tools or software, and they often offer flexible schedules.
What are the most commonly searched types of Data Labeling jobs in Arizona? The most popular types of Data Labeling jobs in Arizona are:
What cities in Arizona are hiring for Home Based Data Labeling jobs? Cities in Arizona with the most Home Based Data Labeling job openings:

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

Role - Data Analyst
Experience Required - 8+ Years
Must Have Technical/Functional Skills
SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals
The Role
As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.
This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.
Responsibilities
• Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
• Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
• Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
• Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
• Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
• Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
• Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
• Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
• Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
• Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
• Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (GCP), AWS, or Azure.
• Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
Base Salary Range : $90,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.