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Annotation Analyst Jobs (NOW HIRING)

Expedia

Data Analyst II - Agentic Experiences

Seattle, WA · On-site

$112K - $156K/yr

We are looking to gain an established performer who consistently applies analytical capabilities to ... Hands-on experience with data annotation or labeling workflows, including quality control and ...

Welocalize, Inc.

Data Labeling Analyst

New York, NY

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Vital Connect Inc

Senior EKG Analyst

CA · Remote

$27 - $30/hr

In this role, you will be responsible for advanced EKG rhythm interpretation, annotation, and quality-focused analysis of cardiac data to support algorithm development, clinical initiatives, and ...

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Annotation Analyst information

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$31K

$73.3K

$130K

How much do annotation analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for annotation analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of an Annotation Analyst?

As an Annotation Analyst, your daily responsibilities generally include reviewing and labeling large volumes of data—such as images, text, or audio—according to predefined guidelines or project requirements. You may also participate in quality control processes, address edge cases or ambiguities in the data, and collaborate with project managers, data scientists, or other analysts to ensure consistency and accuracy. Additionally, you might provide feedback on annotation tools or contribute to refining categorization criteria. The role often involves both independent work and teamwork within a fast-paced, detail-oriented environment, where precision is essential for supporting training and evaluation of AI or machine learning models.

Is an annotation analyst a good job?

An annotation analyst is a role that involves labeling data for machine learning models, requiring attention to detail and familiarity with annotation tools. The job can offer flexible schedules and remote work options but may involve repetitive tasks and lower pay compared to other tech roles. Overall, it can be a good entry-level position for those interested in data and AI development.

What qualifications do I need for data annotation?

Annotation analysts typically need a high school diploma or equivalent, strong attention to detail, and good reading comprehension skills. Familiarity with data labeling tools and basic computer skills are also important, and some roles may require knowledge of specific domains like healthcare or technology. Certifications are not usually required but can enhance job prospects.

What does an annotation analyst do?

An annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a team environment with quality control measures.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the company and location. While some positions offer flexible schedules and remote work, the pay generally does not compare to higher-skilled tech roles, and advancement may require developing additional skills or certifications.

What are the key skills and qualifications needed to thrive in the Annotation Analyst position, and why are they important?

To thrive as an Annotation Analyst, you need exceptional attention to detail, analytical thinking, and proficiency in data labeling or linguistic annotation, often supported by a relevant degree such as linguistics or computer science. Familiarity with annotation tools and platforms (like Labelbox, Prodigy, or proprietary systems) and knowledge of data privacy standards are highly beneficial. Strong communication, collaboration, and time management skills help in working efficiently with multidisciplinary teams and meeting project deadlines. These qualities are crucial for producing high-quality, accurate datasets that directly impact the success of machine learning and AI initiatives.

What is an Annotation Analyst job?

An Annotation Analyst is responsible for labeling and categorizing data, such as text, images, audio, or video, to help improve machine learning models and AI systems. They follow specific guidelines to ensure accuracy and consistency in annotations. This role often involves reviewing, analyzing, and correcting data to enhance AI algorithms' performance. Annotation Analysts typically work with teams developing natural language processing (NLP), computer vision, or speech recognition technologies. Strong attention to detail and familiarity with industry tools are key skills for success in this role.

More about Annotation Analyst jobs
What cities are hiring for Annotation Analyst jobs? Cities with the most Annotation Analyst job openings:
What are the most commonly searched types of Annotation Analyst jobs? The most popular types of Annotation Analyst jobs are:
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Annotation Analyst jobs near you
Infographic showing various Annotation Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $73,261 per year, or $35.2 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 today. 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.