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Work From Home Data Annotation Jobs in New York (NOW HIRING)

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Showing results 21-40

Work From Home Data Annotation information

See New York salary details

$8

$28

$54

How much do work from home data annotation jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for work from home data annotation in New York is $28.43, according to ZipRecruiter salary data. Most workers in this role earn between $18.66 and $35.22 per hour, depending on experience, location, and employer.

What are common challenges faced by remote data annotation specialists, and how are they addressed?

Remote data annotation specialists often face challenges such as repetitive tasks, maintaining accuracy over long periods, and managing potential feelings of isolation due to remote work. Companies typically address these challenges by providing comprehensive training, clear annotation guidelines, regular feedback, and access to collaborative platforms for team support. Many organizations facilitate virtual meetings and offer channels for communication, helping team members stay connected and engaged. Developing a strong routine and proactively seeking clarification when needed can also help individuals overcome these common obstacles and succeed in the role.

Can you do data annotation from home?

Work from home data annotation jobs are common and typically involve labeling data such as images, text, or audio using specialized tools. These roles often require good attention to detail, basic computer skills, and sometimes specific training or certifications, but they generally allow for remote work with flexible schedules.

What is a work from home data annotation?

A Work From Home Data Annotation job involves labeling, categorizing, or tagging data—such as text, images, audio, or video—to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This role is typically remote and may require attention to detail, familiarity with various annotation tools, and adherence to project instructions. Many companies hire data annotators as freelancers, contractors, or part-time workers.

What skills and qualifications are needed for work from home data annotation?

To excel as a Work From Home Data Annotation specialist, you need strong attention to detail, good reading comprehension, and the ability to accurately label data according to given guidelines. Familiarity with data annotation platforms, basic computer skills, and sometimes experience with data management systems or specific project tools are often required. Well-developed time management, communication, and self-motivation skills help individuals stand out in this remote and often independent role. These skills are key because precise and consistent data annotation is critical to supporting machine learning, data analysis, and AI-driven projects.

What are popular job titles related to Work From Home Data Annotation jobs in New York?

For Work From Home Data Annotation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Work From Home Data Annotation jobs in New York look for?

The top searched job categories for Work From Home Data Annotation jobs in New York are:

What cities in New York are hiring for Work From Home Data Annotation jobs?

Cities in New York with the most Work From Home Data Annotation job openings:

Infographic showing various Work From Home Data Annotation job openings in New York as of August 2026, with employment types broken down into 53% Full Time, 24% Part Time, and 23% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $59,130 per year, or $28.4 per hour.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

New York, NY • Remote

$23/hr

Part-time

Posted 28 days ago


Job description

Please submit your resume in English and indicate your level of English.

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

Responsibilities:

  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits

Why this freelance opportunity might be a great fit for you?

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.