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Remote Data Tagging Jobs (NOW HIRING)

Horizon3.ai

Principal Cloud FinOps Analyst

... tagging to enable reporting. Make Cloud and AI spend billing data available in analytics and ... Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and ...

Tinuiti

Data Web Analytics Lead

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Tagging & QA: Assist and support both internal and external needs investigating issues, executing ...

Arctiq

IAM Specialist - Remote Contract

Blue Bell, PA · Remote

Identify and inventory local data plane resources (user/keys/roles/policies/groups) and manage ... Develop a comprehensive metadata tagging strategy mapped to ASL, environment, and repository ...

Constant Contact

Principal Data Engineer - MarTech

$143K - $178K/yr

... side tagging). * Integration & API Mastery: Strong backend integration skills with extensive ... Our hybrid work model combines the convenience of remote work with access to our great office ...

Trulieve

Senior Data Engineer

Tallahassee, FL · Remote

$95K - $129K/yr

Remote Responsibilities * Design and Implement Snowflake-Native Data Architectures * Lead the ... Object Tagging, and Data Classification. * Establish and maintain data governance frameworks ...

JLL

Data Collection Specialist II

Jersey City, NJ · Remote

... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, JERSEY CITY, NJ, New York, NY If this resonates with you, we ...

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All JobsRemote Data Tagging Jobs

Remote Data Tagging information

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$55K

$99.2K

$135.5K

How much do remote data tagging jobs pay per year?

As of Jun 22, 2026, the average yearly pay for remote data tagging in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

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.
More about Remote Data Tagging jobs
What cities are hiring for Remote Data Tagging jobs? Cities with the most Remote Data Tagging job openings:
What are the most commonly searched types of Data Tagging jobs? The most popular types of Data Tagging jobs are:
What states have the most Remote Data Tagging jobs? States with the most job openings for Remote Data Tagging jobs include:
What job categories do people searching Remote Data Tagging jobs look for? The top searched job categories for Remote Data Tagging jobs are:
Remote Data Tagging jobs near you
Infographic showing various Remote Data Tagging job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
Predictive Data Analyst (Contract Position - 12 months)

Predictive Data Analyst (Contract Position - 12 months)

Buxton

Remote

$45 - $60/hr

Contractor

Posted 2 days ago

Job description

Audiense is a next-generation analytics-to-action platform that helps organizations deeply understand and strategically activate their consumers. We've brought together the strengths of three category-leading brands - Buxton, Elevar, and Audiense - into one integrated, insight-driven solution:
  • Buxton by Audiense - 30+ years of predictive modeling and location intelligence expertise.
  • Elevar by Audiense - Industry-leading eCommerce tagging, event tracking, and revenue attribution tools.
  • Audiense - Award-winning audience segmentation and social consumer intelligence for global brands.

Together, we help brands across industries, from retail to CPG to media, make faster, smarter, and more confident decisions that fuel real-world growth.
This position primarily supports the Buxton byAudienseline of business.
We are seeking a highly analytical and self-directed professional to support advanced analytics initiatives across client engagements. This role is ideal for someone who thrives in fast-paced environments, can ramp up quickly with minimal oversight, and is comfortable owning analytical work from problem definition through delivery.
The ideal candidate brings strong experience in quantitative analysis, statistical modeling, and Python-based analytics workflows. This individual will work cross-functionally to uncover insights, develop analytical solutions, and communicate findings directly to internal stakeholders and clients.
This role is best suited for someone who enjoys solving complex business problems, working independently, and translating data into strategic recommendations.
WhatYou'llDo
• Lead end-to-end analytical projects, from exploratory analysis and methodology selection through insight development and final delivery
• Develop quantitative models and advanced analytical solutions to support client decision-making across marketing, real estate, and consumer strategy initiatives
• Analyze large and complex datasets to identify trends, behavioral patterns, and actionable business insights
• Design and execute ad hoc analyses using Python, SQL, and statistical methodologies
• Translate analytical findings into clear business recommendations for both technical and non-technical audiences
• Work directly with internal stakeholders and clients to scope analytical questions, prioritize opportunities, and deliver strategic insights
• Operate independently across multiple projects in a fast-paced environment with minimal oversight
• Develop analytical outputs, visualizations, and reporting solutions to support business decision-making
• Collaborate cross-functionally to identify opportunities for deeper analysis and expanded client value
What You Bring
• Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Business Analytics, or a related quantitative field required; advanced degree preferred
• Strong experience in quantitative analytics, statistical modeling, and data interpretation
• Advanced proficiency in Python for data analysis, modeling, and automation
• Experience working independently with large and complex datasets across multiple data sources
• Ability to structure ambiguous business problems into analytical frameworks and actionable recommendations
• Strong analytical thinking and problem-solving skills with a high level of intellectual curiosity
• Excellent written and verbal communication skills
• Ability to quickly ramp into new business contexts and contribute with minimal onboarding
• Comfortable operating in fast-moving environments with evolving priorities
• Experience in client-facing, consulting, or cross-functional environments a plus
• Proficiency with SQL and data querying concepts preferred
• Experience with predictive modeling, statistical analysis, or advanced analytics techniques preferred
The pay range for this role is:
45 - 60 USD per hour (Remote (US))

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