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No Experience Online Data Annotation Jobs (NOW HIRING)

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating ... Required : • Associate's or Bachelor's degree (or equivalent experience) • Strong attention to ...

$2 - $5/hr

Our partner is looking for a Video Annotation & Data Labeling Specialist based in Netherlands. This ... No previous professional experience is required, making this an accessible opportunity for ...

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ... Experience in a related role * Experience in a role requiring usage of a variety of technology ...

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No Experience Online Data Annotation information

What is the difference between No Experience Online Data Annotation vs Data Labeler?

AspectNo Experience Online Data AnnotationData Labeler
Required CredentialsNo experience needed, basic computer skillsTypically similar, no formal certifications required
Work EnvironmentRemote, online platform-basedRemote or on-site, depending on employer
Industry UsageCommon in AI training, machine learning projectsUsed in AI, computer vision, NLP tasks
Search & Comparison IntentHigh overlap, often compared for entry-level rolesRelated role, often confused with data annotation

Both No Experience Online Data Annotation and Data Labeler roles involve labeling data for AI models, often requiring minimal prior experience. The main difference lies in terminology; 'Data Labeler' is a more traditional term, while 'No Experience Online Data Annotation' emphasizes entry-level, remote work. Both roles are essential in AI development and share similar work environments and skill requirements.

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Infographic showing various No Experience Online Data Annotation job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 21% Part Time, 4% Temporary, and 25% Contract. Highlights an 62% In-person, and 38% Remote job distribution.

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

AI Data Annotation Specialist
Hours: Minimum 20 / week to start
Role Overview
We are seeking a detail-oriented AI Data Annotation Specialist to support a high-impact AI fine-tuning initiative. This role is responsible for labeling, classifying, and validating datasets to improve the accuracy and performance of machine learning models. The ideal candidate combines precision, consistency, and the ability to follow structured guidelines in a fast-paced environment.
Key Responsibilities
  • Perform data labeling and annotation across multiple data types (e.g., text, image, sensor data, behavioral signals).
  • Apply predefined guidelines to ensure high-quality, consistent annotations.
  • Review and validate labeled data to maintain accuracy and reduce bias.
  • Collaborate with AI/ML teams to refine labeling schemas and edge cases.
  • Identify anomalies, ambiguities, or gaps in datasets and escalate as needed.
  • Maintain documentation of labeling decisions and updates to taxonomy.
Required Qualifications
  • Experience in data annotation and labeling.
  • Strong attention to detail and ability to follow structured instructions.
  • Analytical thinking with the ability to interpret nuanced scenarios.
  • Familiarity with annotation tools (e.g., Labelbox, CVAT, Scale AI, or similar).
  • Proficiency with spreadsheets or data tracking tools.
  • Ability to work independently and manage high-volume tasks with consistency.
Preferred Qualifications
  • Experience supporting machine learning or AI fine-tuning projects.
  • Exposure to taxonomy design, classification frameworks, or metadata structuring.

Required Skills : Previous professional experience performing: Data annotation Data labeling Video labeling Content tagging/classification Experience using annotation tools such as: Labelbox CVAT Scale AI Similar proprietary/in-house annotation platforms Strong attention to detail and ability to work accurately on repetitive tasks. Ability to follow structured annotation guidelines and maintain consistency. Demonstrated experience reviewing and classifying video content. Comfortable working independently with minimal supervision.
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :"The information provided below is for Client Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Client Systems Vendor Management. Client Letter: Will Provide"
Exclusive to Client :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship :Yes
Interview times set :Yes
Type of project :
Master Job Title :
Branch Code :

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About Indotronix

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In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US