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Remote Data Labeling Jobs in New York (NOW HIRING)

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ... Prior experience with data annotation, data labeling, or AI evaluation workflows * Familiarity with ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

HumanSignal

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Mercor

Data Scientist - AI/ML Expert

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

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Remote Data Labeling information

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How much do remote data labeling jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for remote data labeling in New York is $37.55, according to ZipRecruiter salary data. Most workers in this role earn between $18.66 and $50.72 per hour, depending on experience, location, and employer.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Many remote data labeling jobs are paid per task or project, which can affect overall earnings, and some roles may require basic skills in data annotation tools or image/video labeling software.

How can I make 2000 a week working from home?

Remote data labeling jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the number of tasks completed. To make $2,000 weekly, you would need to consistently complete a high volume of labeled data, often requiring strong attention to detail and familiarity with labeling tools. Achieving this income level may also involve working multiple platforms or combining data labeling with other remote tasks.

How to make $1000 a week remote?

Remote data labeling jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the volume of work completed. To make $1000 weekly, you need to consistently complete a high number of labeled data sets, often requiring strong attention to detail and familiarity with labeling tools. Building a reputation and working with multiple platforms can help increase your income potential.

What are some common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

Is data labelling a good career?

Data labeling is a common entry-level role in the AI and machine learning industries, involving annotating data to train algorithms. It offers flexible schedules and requires attention to detail, but typically has lower pay and limited advancement opportunities compared to other tech roles.

What are the key skills and qualifications needed to thrive in the Remote Data Labeling position, and why are they important?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in New York? The most popular types of Data Labeling jobs in New York are:
What are popular job titles related to Remote Data Labeling jobs in New York? For Remote Data Labeling jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling jobs in New York look for? The top searched job categories for Remote Data Labeling jobs in New York are:
What cities in New York are hiring for Remote Data Labeling jobs? Cities in New York with the most Remote Data Labeling job openings:
Remote Data Labeling jobs near you

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

24-MAG

New York, NY • Remote

$55 - $80/hr

Part-time, Contractor

Posted 16 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.