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Remote Data Labeling Jobs in Rye, NY (NOW HIRING)

Mercor

Image QA Reviewer - AI Lab

New York, NY · Remote

$50 - $60/hr

Remote Role Responsibilities * Review and validate image datasets sourced from external vendors ... Identify inconsistencies, labeling errors, and systematic quality failures. Provide structured ...

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.

Mercor

STEM Research Scientist - PhD

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

Postdoctoral Researcher

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 And Development Scientist

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.

Clicks Talent

Influencer & Talent Agent

New York, NY · On-site +1

$1K - $10K/mo

Remote (Work from Anywhere) Job Type: ⏰ Full-Time Freelance Contract (Flexible Hours ... Secure and negotiate high-value deals with brands, agencies, and record labels, creating successful ...

Mercor

K-12 Education Specialist - Expert

New York, NY · Remote

$850 - $1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to lesson planning ... Annotate, label, and validate data across K-12 use cases like differentiated instruction and ...

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Remote Data Labeling information

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 cities near Rye, NY are hiring for Remote Data Labeling jobs? Cities near Rye, NY with the most Remote Data Labeling job openings:
Remote Data Labeling jobs near you

Image QA Reviewer - AI Lab

Mercor

New York, NY • Remote

$50 - $60/hr

Full-time

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

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: Image QA Expert
Type: Contract
Compensation: $50–$60/hour
Location: Remote

Role Responsibilities

  • Review and validate image datasets sourced from external vendors against defined quality standards and QA rubrics.
  • Identify inconsistencies, labeling errors, and systematic quality failures. Provide structured written feedback.
  • Contribute to the development of instruction specs and golden sample datasets as internal quality benchmarks.
  • Collaborate with Researchers and Ops teams to scope data projects, define quality criteria, and support evaluation efforts.
  • Work independently and manage time effectively to meet deadlines while ensuring high-quality image data.

Qualifications

Must-Have

  • Strong attention to detail and ability to apply evaluation rubrics consistently and objectively.
  • Excellent written communication skills; able to document findings clearly and provide actionable feedback.
  • 2+ years of experience in QA, editing, reviewing, auditing, or annotation work (any domain).
  • Basic ability to work independently and manage one's time.
  • Verbal and written communication skills, problem-solving skills, and interpersonal skills.

Preferred

  • Past experience in AI training, model evaluation, or data annotation.

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.