2

Hourly Remote Data Annotation Jobs in Manhattan, NY

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

Remote Paralegal

Manhattan, NY · On-site +1

$75/hr

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

Paralegal / Legal Expert

Manhattan, NY · Remote

$55K - $76K/yr

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

New

Showing results 21-40

Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What are popular job titles related to Hourly Remote Data Annotation jobs in Manhattan, NY?

For Hourly Remote Data Annotation jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Annotation jobs in Manhattan, NY look for?

The top searched job categories for Hourly Remote Data Annotation jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Hourly Remote Data Annotation jobs?

Cities near Manhattan, NY with the most Hourly Remote Data Annotation job openings:

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

New York, NY • Remote

$20/hr

Part-time

Re-posted 15 days ago


Job description

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

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

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.

While each project involves unique tasks, contributors may:

  • 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.

What we look for

This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • 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;
  • Strong written and spoken English (C1+).

How it works 

Apply Pass qualification(s)  Join a project (when available) Complete tasks Get paid

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;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.