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Home Based Remote Image Annotation Jobs (NOW HIRING)

... remote sensing science. This position requires on-site support at a government facility and close ... Develop, refine, and validate spectral-based algorithms for detection, unmixing, anomaly detection ...

This position is home-based. What's in it for you? * Position is home-based (remote) during client's business hours and requires occasional travel for in-market visits. * Working within a fun and ...

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Home Based Remote Image Annotation information

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How much do home based remote image annotation jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for home based remote image annotation in the United States is $20.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between Home Based Remote Image Annotation vs Home Based Remote Data Labeling?

AspectHome Based Remote Image AnnotationHome Based Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageAI training, computer visionAI training, machine learning
Job FocusAnnotating images with labels, bounding boxesLabeling data, categorizing datasets

Home Based Remote Image Annotation and Home Based Remote Data Labeling are similar roles involving remote work for AI training. Image annotation focuses on marking specific features within images, while data labeling involves categorizing data for machine learning. Both require attention to detail and are performed remotely, making them popular in AI and tech industries.

What are the key skills and qualifications needed to thrive as a Home Based Remote Image Annotation Specialist, and why are they important?

To thrive as a Home Based Remote Image Annotation Specialist, you need keen attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation tools like Labelbox, CVAT, or VGG Image Annotator is typically required, and experience with cloud-based systems can be advantageous. Strong time management, self-motivation, and clear communication help you meet deadlines and deliver consistent, high-quality work. These skills and qualities ensure accurate data preparation, which is crucial for training reliable AI and machine learning models.

What are home based remote image annotation jobs?

Home based remote image annotation jobs involve labeling or tagging objects, regions, or features within digital images to help train artificial intelligence (AI) and machine learning models. These roles are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. Tasks may include drawing bounding boxes, polygons, or classifying objects in images, and attention to detail is crucial. This work supports industries like autonomous vehicles, healthcare, and e-commerce by improving AI accuracy. Most positions are freelance or part-time, offering flexible schedules for workers.

What are some common challenges faced by home-based remote image annotation professionals, and how can they be effectively managed?

One common challenge for remote image annotation professionals is maintaining consistent accuracy and focus when working independently for extended periods. Distractions at home and repetitive tasks can also lead to decreased productivity or errors. To manage these challenges, it's helpful to establish a dedicated workspace, adhere to a structured schedule, and take regular breaks to prevent fatigue. Additionally, staying connected with team members through regular check-ins can provide support, clarify guidelines, and ensure quality standards are met.
More about Home Based Remote Image Annotation jobs
What cities are hiring for Home Based Remote Image Annotation jobs? Cities with the most Home Based Remote Image Annotation job openings:
What are the most commonly searched types of Remote Image Annotation jobs? The most popular types of Remote Image Annotation jobs are:
What states have the most Home Based Remote Image Annotation jobs? States with the most job openings for Home Based Remote Image Annotation jobs include:
Infographic showing various Home Based Remote Image Annotation job openings in the United States as of June 2026, with employment types broken down into 85% Part Time, 2% Temporary, 11% Contract, and 2% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $42,886 per year, or $20.6 per hour.

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

24-MAG

New York, NY • Remote

$55 - $80/hr

Part-time, Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


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.