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Remote Data Tagging Jobs in California (NOW HIRING)

Mondo

Product Manager, Adobe Analytics

San Francisco, CA · On-site +1

$47.23 - $49.23/hr

Remote (PST hours; hybrid preferred) Start Date Is: ASAP Duration: 1 year (contract, with option to ... Define tagging strategy, data layer requirements, and governance standards * Partner with ...

CriticalRiver Inc.

Salesforce Solution Architect

Hayward, CA · Remote

$72.25 - $95.25/hr

Remote [SFO, CA] Duration: 6Months About the Role We are seeking an experienced Solution Architect ... integration topology, data flows, and deployment model • Evaluate and recommend suitable ...

New

CriticalRiver Inc.

Salesforce Solution Architect

Fremont, CA · Remote

$69 - $90.75/hr

Remote [SFO, CA] Duration: 6Months About the Role We are seeking an experienced Solution Architect ... integration topology, data flows, and deployment model • Evaluate and recommend suitable ...

New

CriticalRiver Inc.

Salesforce Solution Architect

Sonoma, CA · Remote

$70.50 - $93/hr

Remote [SFO, CA] Duration: 6Months About the Role We are seeking an experienced Solution Architect ... integration topology, data flows, and deployment model • Evaluate and recommend suitable ...

New

CriticalRiver Inc.

Salesforce Solution Architect

San Jose, CA · Remote

$73.75 - $97.25/hr

Remote [SFO, CA] Duration: 6Months About the Role We are seeking an experienced Solution Architect ... integration topology, data flows, and deployment model • Evaluate and recommend suitable ...

New

CriticalRiver Inc.

Salesforce Solution Architect

Alameda, CA · Remote

$73 - $96.25/hr

Remote [SFO, CA] Duration: 6Months About the Role We are seeking an experienced Solution Architect ... integration topology, data flows, and deployment model • Evaluate and recommend suitable ...

New

CriticalRiver Inc.

Salesforce Solution Architect

San Mateo, CA · Remote

$71.75 - $94.50/hr

Remote [SFO, CA] Duration: 6Months About the Role We are seeking an experienced Solution Architect ... integration topology, data flows, and deployment model • Evaluate and recommend suitable ...

New

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All JobsRemote Data Tagging JobsRemote Data Tagging Jobs in California

Remote Data Tagging information

How to make $1000 a week remote?

Remote data tagging jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the platform used. To make $1000 a week, you need to complete a high volume of accurate tags consistently, often requiring strong attention to detail and familiarity with data annotation tools. Building a steady workflow and working full-time hours can help achieve this income level.

How to make 2000 a week working from home?

Remote data tagging jobs can offer part-time or full-time opportunities that, with consistent effort and high productivity, can contribute toward earning $2000 weekly. Achieving this income typically requires working multiple hours daily, developing strong attention to detail, and using data annotation tools efficiently. Building experience and increasing your workload can help reach higher earnings in this field.

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

To thrive as a Remote Data Tagging Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, typically supported by a high school diploma or higher. Experience with data annotation tools such as Labelbox, Supervisely, or CVAT, and understanding of formats like JSON or XML, is commonly required. Excellent time management, communication, and reliability are standout soft skills for this remote role. These abilities are crucial to ensure high-quality, accurate datasets that power machine learning and AI systems.

What are some common challenges faced by remote data tagging professionals and how can they be addressed?

Remote data tagging professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying engaged without in-person supervision. To address these, it’s helpful to follow clear annotation guidelines, take regular breaks to prevent fatigue, and use collaboration tools to communicate with team members or supervisors. Many organizations also provide feedback loops and quality checks to support remote taggers in improving their work and staying aligned with project expectations.

What job makes $10,000 a month without a degree?

Remote data tagging jobs can pay up to $10,000 per month for experienced workers, especially those working full-time or handling large volumes of data. These roles typically require strong attention to detail, familiarity with data annotation tools, and consistent productivity, but they often do not require formal degrees.

What is the salary of data tagging?

The salary for remote data tagging positions typically ranges from $10 to $20 per hour, depending on experience, the company, and the complexity of the tasks. Many roles are paid on an hourly basis, and some may offer project-based or part-time compensation. Skills in data annotation tools and attention to detail can influence pay rates.

What is the difference between Remote Data Tagging vs Remote Data Annotation?

AspectRemote Data TaggingRemote Data Annotation
Primary FocusLabeling specific data points within datasetsAdding detailed labels and context to data
Skills RequiredAttention to detail, basic understanding of data typesAnalytical skills, understanding of data context
Work EnvironmentRemote, often part-time or freelanceRemote, often part-time or freelance
Industry UsageMachine learning, AI trainingMachine learning, AI training

Remote Data Tagging and Remote Data Annotation are closely related tasks in AI data preparation. Tagging typically involves marking specific data points, while annotation provides more detailed context. Both roles are essential for training machine learning models and share similar skills and work environments.

What is remote data tagging?

Remote data tagging is the process of labeling or annotating data—such as images, videos, text, or audio—while working from a remote location, typically from home. This work is essential for training artificial intelligence (AI) and machine learning models, as it helps computers better understand and categorize information. Data taggers use specialized software to mark, classify, or add metadata to various types of digital content according to specific guidelines provided by employers or clients. Most remote data tagging jobs require attention to detail, basic computer skills, and the ability to follow detailed instructions. These roles are often offered as freelance, part-time, or full-time remote positions.
What are the most commonly searched types of Data Tagging jobs in California? The most popular types of Data Tagging jobs in California are:
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What cities in California are hiring for Remote Data Tagging jobs? Cities in California with the most Remote Data Tagging job openings:
Remote Data Tagging jobs near you
Data Governance & Metadata

Data Governance & Metadata

SOS International LLC

Los Angeles, CA • Remote

Other

Posted 14 days ago

Job description

Remote, Remote, USA

Full-time

Clearance Requirement: None

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

***** This position is contingent upon contract award *****

SOSi is seeking a Data Governance & Metadata Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with Data Catalog.

  • The contractor shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform.

  • The contractor shall implement and manage data governance workflows, ensuring integration with OpenLineage, Unity Catalog, and GIS metadata standards.

  • The contractor shall submit the Metadata & Data Governance Compliance Report, detailing lineage tracking, classification policies, and security enhancements.

Qualifications

  • Bachelor's degree in Data Science, Information Management, GIS, or a related field, or five (5) years of equivalent experience in data governance, metadata management, or geospatial data integration.

  • Knowledge and capability to develop, implement, and maintain data governance frameworks, ensuring metadata consistency, lineage tracking, and interoperability between Data Lake, ESRI Kubernetes environments, and external data sources.

  • Personnel must be proficient in metadata management, data lineage tracking (Unity Catalog/OpenLineage), schema alignment, and governance best practices.

  • Expertise in geospatial data standards, data cataloging, and compliance with DoD metadata policies is required.

  • Demonstrated experience in: Implementing metadata governance frameworks for structured and unstructured data in cloud-based environments.

  • Tracking data lineage and ensuring metadata synchronization across a Data Catalog, ESRI Kubernetes, and enterprise metadata repositories.

  • Utilizing OpenLineage, Apache Atlas, or similar tools for metadata and data lineage management.

  • Enforcing compliance with DoD metadata policies and NSG tradecraft standards for geospatial datasets

Preferred Qualifications:

Certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or ESRI Geospatial Data Management Certification.

Additional Information

Working Conditions

  • Remote. Offsite.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.

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