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Remote Labeler Jobs in New York (NOW HIRING)

This will be a remote position. RESPONSIBILITIES: D2D Project Execution & Workflow Management * Lead execution of packaging labeling and artwork projects through the Design-to-Delivery (D2D) workflow

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... S. business hours; this is a remote role, but it is not open to candidates located outside the U.S.

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 ...

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 ...

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Remote Labeler information

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many remote labelers work as independent contractors, which can affect pay rates and benefits.

How can I make 2000 a week working from home?

A remote labeler can potentially earn $2,000 per week by working full-time hours, often 40 hours or more, and gaining experience or specialized skills in data annotation or image labeling. Increasing income may involve taking on multiple projects, improving efficiency, or working for companies that pay higher rates for quality work. Consistent, high-volume work and reliable performance are key to reaching this income level.

How to make $1000 a week remote?

A remote labeler can potentially earn $1000 a week by working full-time hours, often 40 hours or more, and increasing productivity or taking on multiple projects. Building skills in image annotation tools and maintaining consistent quality can help secure higher-paying tasks or multiple clients, but earnings depend on workload, pay rates, and experience.

What is the difference between Remote Labeler vs Data Annotator?

AspectRemote LabelerData Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageCommon in AI training, machine learningUsed in AI, autonomous vehicle data, medical imaging

Both Remote Labelers and Data Annotators perform tasks involving data organization and labeling for AI systems. While their roles are similar, Remote Labelers often focus on image or video labeling for machine learning, whereas Data Annotators may handle a broader range of data types. Both roles typically require basic technical skills and are performed remotely, making them accessible for remote work opportunities in the AI industry.

Is data labeling work from home?

Data labeling jobs, including remote labeler positions, are often performed from home. These roles typically require a computer, internet connection, and attention to detail, and they can offer flexible schedules. However, specific requirements may vary by employer.
What are the most commonly searched types of Labeler jobs in New York? The most popular types of Labeler jobs in New York are:
What are popular job titles related to Remote Labeler jobs in New York? For Remote Labeler jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Labeler jobs in New York look for? The top searched job categories for Remote Labeler jobs in New York are:
What cities in New York are hiring for Remote Labeler jobs? Cities in New York with the most Remote Labeler job openings:
Infographic showing various Remote Labeler job openings in New York as of July 2026, with employment types broken down into 19% Locum Tenens, 40% Internship, 35% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

New York, NY โ€ข Remote

$20/hr

Full-time, Part-time

Re-posted 25 days ago


Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology