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Remote Annotation Jobs (NOW HIRING)

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 ...

Welo Data

Remote Polish Search Analyst AI

Manhattan, NY · Remote

$8.75/hr

A data annotation company is seeking Polish speakers for an entry-level role in data annotation, helping enhance AI in e-commerce. The position is remote, allowing total flexibility in your schedule.

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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How much do remote annotation jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote annotation in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

What are the key skills and qualifications needed to thrive in the Remote Annotation position, and why are they important?

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.
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Remote Annotation jobs near you
Infographic showing various Remote Annotation job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

Remote Dental Imaging Annotation Specialist (DDS/DMD)

Avanciers Inc.

Manhattan, NY • Remote

$334K - $441K/yr

Full-time

Posted 13 days ago

Job description

A healthcare consultancy firm is looking for a skilled Dental Imaging Annotation Specialist to work remotely within the U.S. This contract role requires a licensed Dental Doctor (DDS/DMD) with expertise in interpreting dental X-rays. You will annotate a significant number of dental images to aid in AI healthcare initiatives, ensuring compliance and confidentiality.

Attention to detail and experience with image annotation tools are essential. This is an exciting opportunity to contribute to advanced healthcare solutions. #J-18808-Ljbffr

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