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Remote Data Labeling Jobs in New York (NOW HIRING)

Fluidstack

Infrastructure Deployment Engineer

New York, NY · On-site +1

$150K - $250K/yr

... with data center facility operations. * Act as a remote hands expert for remote engineering teams ... and labeling. * Ensure all infrastructure, including racks, servers, network devices, and storage ...

Mercor

AI Research Scientist - GenAI

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.

Mercor

Senior Machine Learning Engineer

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.

Mercor

AI Researcher

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.

Mercor

Machine Learning Engineer

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.

Mercor

Subject Matter Expert

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

Research Scientist | Upto $100/hr

New York, NY · Remote

$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.

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All JobsData Labeling JobsRemote Data Labeling JobsRemote Data Labeling Jobs in New York

Remote Data Labeling information

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$11

$37

$83

How much do remote data labeling jobs pay per hour?

As of Jun 14, 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

Special Education Consultant - Fully Remote | Upto $1000 Part-time

Mercor

New York, NY • Remote

$850 - $1K/wk

Part-time

Posted 18 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Special Education Expert
Type: Contract
Compensation: $850–$1,000 per completed task
Location: Remote

Role Responsibilities

  • Review and evaluate AI-generated outputs related to IEP goal writing, accommodation recommendations, and behavioral intervention strategies.
  • Create realistic scenarios based on special education workflows like IEP meeting documentation and progress monitoring.
  • Annotate, label, and validate data across special education use cases, ensuring compliance with IDEA and other regulations.
  • Provide structured feedback on AI accuracy in areas such as federal and state special education law and evidence-based interventions.
  • Collaborate asynchronously with research teams to refine evaluation frameworks for special education AI.

Qualifications

Must-Have

  • 3+ years of professional experience in special education.
  • Background in special education classroom instruction, IEP coordination, or applied behavior analysis.
  • Strong analytical thinking and ability to translate individualized student support workflows into structured evaluation tasks.
  • Clear written communication and attention to detail.

Preferred

  • Professional credentials such as BCBA, special education teaching licensure, or school psychologist certification.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality.
  • Performance Bonus: Weekly bonus incentive for top performers.
  • Hourly Opportunity: Potential transition to an hourly compensation model for top performers.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.