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Data Annotation Tech Remote Jobs in Brooklyn, NY

Cohere

Data Annotation Specialist, Safety

Manhattan, NY · On-site +1

... tech. Cohere is looking for Data Annotation Specialists with backgrounds and skills in Trust ... This is a part-time, remote, independent contractor position available within Canada or the United ...

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Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ...

Mercor

Data Annotation Specialist - AI Lab

New York, NY · Remote

$50/hr

Remote Role Responsibilities * Review, evaluate, and annotate AI outputs with extreme attention to ... Experience with large-scale AI data annotation or evaluation programs. * Background in QA, ...

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Data Annotation Tech Remote information

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$12

$24

$36

How much do data annotation tech remote jobs pay per hour?

As of May 28, 2026, the average hourly pay for data annotation tech remote in Brooklyn, NY is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $28.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are popular job titles related to Data Annotation Tech Remote jobs in Brooklyn, NY? For Data Annotation Tech Remote jobs in Brooklyn, NY, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Brooklyn, NY look for? The top searched job categories for Data Annotation Tech Remote jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Data Annotation Tech Remote jobs? Cities near Brooklyn, NY with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Brooklyn, NY as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Temporary. Highlights an 45% Physical, 6% Hybrid, and 49% Remote job distribution, with an average salary of $49,959 per year, or $24 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

New York, NY • Remote

$20/hr

Full-time, Part-time

Posted 18 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