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Remote Data Tagging Jobs in Colorado (NOW HIRING)

Location3 Media

Paid Search Account Manager

Denver, CO · On-site +1

$80K - $90K/yr

Paid Search Account Manager Location3 | US Remote (Denver metro area preferred) Position Summary We ... data-driven optimization decisions, and delivering clear performance narratives to internal teams ...

Location3 Media

Paid Search Account Manager

Denver, CO · Remote

Paid Search Account Manager Location3 | US Remote (Denver metro area preferred) Position Summary We ... Translate performance data into clear insights, communicating what changed, what it means, and what ...

All JobsData Tagging JobsRemote Data Tagging JobsRemote Data Tagging Jobs in Colorado

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.
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Remote Data Tagging jobs near you
Senior Digital Analytics Engineer

Senior Digital Analytics Engineer

Growth Acceleration Partners

Colorado Springs, CO • Remote

Full-time

Posted 26 days ago

Job description

WHAT WE DO

Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.

GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.

Summary

We are seeking an Advanced Data Analysis professional to manage the health and day-to-day operations of our digital tracking infrastructure. In this role, you will be the primary steward of our Google Tag Manager (GTM) and GA4 configurations while playing a critical role in the migration and maintenance of our new Adobe Analytics platform. Working closely with Software Engineering and Product teams, you will ensure that tracking is accurate, resilient, and aligned with business goals. This role is ideal for a detail-oriented technician who enjoys hands-on tagging, troubleshooting, and supporting product optimization through A/B testing.

Education

  • Bachelor’s Degree in Computer Science, Information Systems, Marketing Analytics, Data Science, or a related technical field.

Professional Experience

  • 5+ years of experience in digital analytics implementation, technical marketing operations, or web analytics

  • Proven experience working within a software development lifecycle (SDLC) using Agile tools such as Jira or Confluence

  • Experience partnering closely with Product and Engineering teams to translate requirements into technical tagging specifications

Key Responsibilities

  • Manage and optimize GTM containers and GA4 property configurations to ensure absolute data integrity

  • Support the technical configuration of Adobe Analytics (via Adobe Launch/Data Collection) based on engineering and product requirements

  • Deploy tracking pixels and events for marketing and product initiatives, assisting in dual-tagging efforts during the transition to Adobe Analytics

  • Translate product requirements into technical tagging specifications and maintain the Solution Design Reference (SDR)

  • Partner with Product teams to implement, instrument, and validate A/B test tracking using tools like Adobe Target, LaunchDarkly, and ContentSquare

  • Perform rigorous Quality Assurance (QA) and User Acceptance Testing (UAT) on all new tags and conduct regular audits to resolve tagging errors

Required Technical Skills

Strong experience in several of the following areas:

  • Analytics Platforms: Proficiency in Adobe Analytics and Google Analytics 4 (GA4) configuration and reporting

  • Tag Management: Hands-on experience with Adobe Launch (Data Collection) and Google Tag Manager (GTM)

  • Frontend Web Technologies: Strong ability to read and write JavaScript, HTML, and CSS for custom tracking and troubleshooting

  • Debugging Tools: Mastery of browser developer tools and Tag Assistant

Nice to Have

  • Familiarity with the Adobe Experience Platform (AEP) Web SDK

  • Understanding of Event-Driven Data Layers (EDDL) and JSON schemas

  • Experience implementing and managing privacy-compliant tracking solutions

Soft Skills

  • Advanced English proficiency

  • Exceptional attention to detail and strong analytical troubleshooting skills

  • Excellent cross-functional communication abilities to bridge the gap between Product, Marketing, and Engineering teams

At Growth Acceleration Partners, we\'re an equal opportunity employer committed to building a diverse and inclusive team. We value everyone\'s unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.

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