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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.
What are popular job titles related to Remote Data Tagging jobs in Colorado? For Remote Data Tagging jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Tagging jobs in Colorado look for? The top searched job categories for Remote Data Tagging jobs in Colorado are:
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Remote Data Tagging jobs near you

Paid Search Account Manager

Location3 Media

Denver, CO • On-site, Remote

$80K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

Job description

Paid Search Account Manager
Location3 | US Remote (Denver metro area preferred)
Position Summary
We're looking for a Paid Search Account Manager to join our team and drive measurable results for enterprise and multi-location clients through disciplined execution. You'll own the performance of your assigned accounts end to end; translating client goals into well-structured campaigns, making data-driven optimization decisions, and delivering clear performance narratives to internal teams and clients.
You'll collaborate closely with Senior Media Strategists who sets cross-channel strategy on your accounts. This role is the right fit for someone with two or more years of hands-on paid search experience who is comfortable working independently, thinks critically about performance, and is ready to grow into a senior-level ownership role.
What You'll Do
• Plan, build, and manage campaigns across Search, Local Services Ads, Performance Max, Demand Gen, YouTube, that are structured to hit client goals for lead volume, efficiency, or revenue growth.
• Own ongoing campaign optimizations including keywords, bids, audiences, ad copy, and targeting, with the analytical rigor to know what to change, when, and why.
• Design and execute structured tests across ad copy, bidding strategies, audience segments, and campaign configurations using the TELO framework (Test, Evaluate, Learn, Optimize), turning results into repeatable improvements that compound over time.
• Monitor account health and budget pacing across your book of business, proactively surfacing risks and recommending spending adjustments before they impact client results.
• Translate performance data into clear insights, communicating what changed, what it means, and what you're doing about it through client-facing reports and internal documentation.
• Partner with Senior Media Strategists and account teams to align search execution with broader client strategy and contribute to process improvements and documentation that raise the quality bar across the team.
What You'll Bring
Paid search expertise
• 2+ years of hands-on SEM management within Google and Bing. Campaign management of Yelp and Reddit campaigns is a plus.
• Strong command of keyword strategy, match type frameworks, Smart Bidding selection, and search term analysis.
• Strong understanding of core performance metrics (CPA/CPL, ROAS, CVR, impression share, Quality Score) and the ability to use them to drive decisions, not just report on them.
• Working knowledge of conversion tracking, Google Tag Manager basics, and GA4 / auto-tagging integration.
• Experience with Google Ads Editor and comfort managing multiple accounts and 50+ campaigns monthly. Experience working within the Fluency platform is desired but not required.
How you work
• Detail-oriented with reliable QA instincts; you take pride in getting things right the first time.
• Clear communicator who can translate data into actionable insights for both internal teams and clients.
• Self-directed and organized, with the ability to manage multiple accounts and priorities in a remote environment.
• Curious and growth-oriented; you stay current on platform changes, bring new ideas to the table, and are building toward senior-level ownership.
About Location3
Location3 is a fully remote digital marketing agency founded in 1999. We help enterprise and multi-location brands improve performance through scalable, data-driven marketing solutions. Our team of more than 50 employees supports global, national, and local brands, with many client partnerships lasting three years or longer.
We value collaboration, learning, and connection. Our culture is supported through ongoing training, strong technology infrastructure, remote-first flexibility, and opportunities to connect through virtual events and our annual in-person company retreat. We offer competitive benefits including medical, dental, vision, matching 401k, wellbeing stipends, and remote work support.
Location3 is committed to building a diverse, inclusive, and equitable workplace and is proud to be an equal opportunity employer.

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