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Remote Data Annotation Analyst Jobs (NOW HIRING)

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

Q Analysts has a sixteen-years track record of providing managed services and we've partnered with ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Welo Data

Remote Polish Search Analyst AI

Manhattan, NY · Remote

$8.75/hr

A data annotation company is seeking Polish speakers for an entry-level role in data annotation, helping enhance AI in e-commerce. The position is remote, allowing total flexibility in your schedule.

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$34K

$82.6K

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How much do remote data annotation analyst jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

More about Remote Data Annotation Analyst jobs
What cities are hiring for Remote Data Annotation Analyst jobs? Cities with the most Remote Data Annotation Analyst job openings:
What are the most commonly searched types of Data Annotation Analyst jobs? The most popular types of Data Annotation Analyst jobs are:
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Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Remote | Network Data Annotation & Infrastructure Specialist -- $55-$80/hour

24-MAG

New York, NY • Remote

$55 - $80/hr

Part-time, Contractor

Posted 8 days ago

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in network engineering, infrastructure logs, telemetry review, network configuration analysis, anomaly identification, and structured technical data annotation workflows.

This role supports current and upcoming remote consulting opportunities focused on structured network data review, infrastructure event analysis, telemetry classification, configuration assessment, data labeling, and high-quality project execution. Selected professionals will apply their network engineering expertise to review realistic infrastructure data, identify patterns and anomalies, prepare structured annotations, and support accurate, evidence-based network data workflows.

Key Responsibilities

Professionals in this role may contribute to:

Network Data Review & Annotation

  • Review network-related data such as logs, configurations, telemetry, event streams, alerts, and time-series metrics
  • Label and classify network behaviors, issues, anomalies, system states, and infrastructure events based on provided guidelines
  • Support structured annotation workflows for large-scale network and infrastructure datasets
  • Identify recurring patterns, unusual behaviors, missing context, and expected classification outcomes

Infrastructure Configuration & Event Analysis

  • Review enterprise network scenarios involving switches, access points, firewalls, routing behavior, connectivity issues, and configuration states
  • Interpret logs, events, metrics, and configuration details to support accurate technical classification
  • Evaluate network data against source materials, expected behavior, and documented infrastructure rules
  • Prepare clear written explanations for network observations, classifications, and technical decisions

Data Pipeline & Schema Support

  • Support schema definition and structured data organization for network telemetry and infrastructure data workflows
  • Review how raw infrastructure data is categorized, normalized, and prepared for downstream technical use
  • Collaborate through structured review processes involving network events, data pipelines, and annotation standards
  • Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • Experience working as a network engineer, infrastructure engineer, network operations specialist, systems engineer, or related technical professional
  • Hands-on experience with enterprise networks, including switches, access points, firewalls, routing, wireless infrastructure, or network monitoring
  • Comfort interpreting logs, events, telemetry, alerts, configurations, and time-series metrics
  • Strong ability to identify network behaviors, operational issues, anomalies, and infrastructure patterns
  • Interest in structured data workflows, annotation, data pipelines, or autonomous infrastructure systems
  • Clear written communication skills and ability to explain technical reasoning clearly

Educational Background

  • A degree or professional background in network engineering, computer science, information technology, systems engineering, cybersecurity, telecommunications, or a related technical field is helpful
  • Equivalent practical experience in network operations, enterprise networking, infrastructure support, telemetry review, or technical annotation work is also highly relevant

Nice to Have

  • Experience with enterprise networking environments, NOC workflows, observability tools, cloud networking, or infrastructure monitoring
  • Familiarity with Cisco, Juniper, Arista, Meraki, Fortinet, Palo Alto, Ubiquiti, Aruba, or similar networking technologies
  • Experience with logs, metrics, event streams, schema definition, data labeling, or annotation workflows
  • Familiarity with data pipelines, machine learning input preparation, or technical dataset review
  • Ability to work accurately across sustained review workflows requiring careful attention to detail

Why This Opportunity

  • Apply network engineering expertise to structured remote data annotation and infrastructure review work
  • Contribute to high-quality network telemetry classification, log review, and technical data organization
  • Work on flexible, project-based assignments aligned with your networking background
  • Use your infrastructure judgment in a focused, detail-oriented technical environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time or extended weekly commitment depending on project availability
  • Competitive rates between $55–$80 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.