3

Remote Data Annotation No Experience Jobs (NOW HIRING)

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

next page

Showing results 1-20

People also search for

Remote Data Annotation No Experience information

What are some common challenges faced by remote data annotators with no prior experience, and how can they be overcome?

One common challenge for entry-level remote data annotators is understanding the specific labeling guidelines and maintaining consistency across large datasets. Adapting to different annotation tools and platforms can also be initially overwhelming. To overcome these challenges, it's vital to thoroughly review provided training materials, participate in onboarding sessions, and don't hesitate to ask clarifying questions. Many teams use chat channels or forums where annotators can discuss ambiguities and share best practices, which helps new members improve accuracy and efficiency over time.

What is a remote data annotation job with no experience?

A remote data annotation job involves labeling, tagging, or categorizing data (such as images, text, or audio) from home, often for use in training artificial intelligence and machine learning models. These roles typically do not require prior experience, as employers provide guidelines or training to help you get started. They are ideal for beginners looking to enter the tech field or work flexible hours from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation specialist with no experience, and why are they important?

To thrive as a Remote Data Annotation specialist with no prior experience, you need strong attention to detail, basic computer literacy, and the ability to follow precise guidelines. Familiarity with annotation platforms or tools like Labelbox, Scale AI, or similar web-based systems is often required, though many employers provide training. Excellent time management, reliability, and the ability to work independently set outstanding annotators apart. These skills are crucial for consistently producing accurate, high-quality labeled data that supports the development of AI and machine learning models.
What are the most commonly searched types of Remote Data Annotation jobs? The most popular types of Remote Data Annotation jobs are:
Infographic showing various Remote Data Annotation No Experience job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

AI/ML Data Contributor

TSMG

Philadelphia, PA โ€ข Remote

Full-time

Posted 13 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • 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 ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.