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Remote Annotator Jobs (NOW HIRING)

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

TBC Rate: 15 USD/hour Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the ...

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Remote Annotator information

What are the key skills and qualifications needed to thrive as a Remote Annotator, and why are they important?

To thrive as a Remote Annotator, you need strong attention to detail, data entry accuracy, and familiarity with data labeling or annotation concepts, often supported by a high school diploma or equivalent. Proficiency with online annotation platforms, tools like Labelbox or Supervisely, and sometimes knowledge of basic programming or image editing software is valuable. Excellent time management, self-motivation, and clear communication skills help you excel in independent and collaborative remote environments. These skills ensure that annotated data is accurate, consistent, and valuable for training reliable AI and machine learning systems.

What are some common challenges faced by remote annotators, and how can they be managed effectively?

Remote annotators often encounter challenges such as maintaining focus during repetitive tasks, managing deadlines across multiple projects, and ensuring clear communication with project managers or team leads in a virtual environment. To address these, it's helpful to establish a dedicated workspace, use productivity tools to track progress, and proactively seek clarification on guidelines when needed. Building a routine and participating in team check-ins can also foster engagement and help annotators stay aligned with project requirements.

What is the difference between Remote Annotator vs Data Labeler?

AspectRemote AnnotatorData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentRemote, often collaborative with teamsRemote or on-site, often individual work
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Common Search/ComparisonRemote Annotator vs Data Labeler

The main difference between a Remote Annotator and a Data Labeler lies in the scope of work. Remote Annotators often perform detailed annotations, such as labeling images, videos, or audio for AI training, requiring some technical skills. Data Labelers typically focus on basic labeling tasks with minimal technical requirements. Both roles are remote and used in similar industries like AI and machine learning, but Remote Annotators usually handle more complex annotation tasks.

What are remote annotators?

Remote annotators are professionals who label, tag, or categorize data—such as images, text, audio, or video—from a remote location, usually working from home. They play an essential role in preparing data for machine learning models and artificial intelligence systems by ensuring the information is accurately annotated. Remote annotators often use specialized software to complete their tasks and need strong attention to detail. This job is ideal for those seeking flexible, work-from-home opportunities and is common in industries like technology, healthcare, and autonomous vehicles.
More about Remote Annotator jobs
What cities are hiring for Remote Annotator jobs? Cities with the most Remote Annotator job openings:
What are the most commonly searched types of Annotator jobs? The most popular types of Annotator jobs are:
What states have the most Remote Annotator jobs? States with the most job openings for Remote Annotator jobs include:
What job categories do people searching Remote Annotator jobs look for? The top searched job categories for Remote Annotator jobs are:
Remote Annotator jobs near you
Infographic showing various Remote Annotator job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 55% Physical, 1% Hybrid, and 44% Remote job distribution.

AI Trainer - Freelance Data Annotator

Toloka Annotators

Remote

$23/hr

Part-time

Posted 10 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.

Apply