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Contractual Remote Data 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 ...

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Contractual Remote Data Annotation information

What is contractual remote data annotation?

Contractual remote data annotation involves labeling or tagging data—such as images, text, or audio—while working from a remote location, usually as a contractor rather than a full-time employee. Data annotation is a crucial step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms learn to recognize patterns and make predictions. Contractors are typically assigned specific tasks or projects and are paid based on the volume or quality of their completed annotations. This type of work requires attention to detail, reliability, and sometimes domain-specific knowledge, depending on the project.

What is the difference between Contractual Remote Data Annotation vs Data Labeler?

AspectContractual Remote Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible or fixed hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job ScopeAnnotating data for training AI modelsLabeling data to train AI systems

Contractual Remote Data Annotation involves completing data annotation tasks on a contractual basis, often with flexible hours and remote work. Data Labelers perform similar tasks but may work on a freelance or part-time basis, sometimes in different environments. Both roles support AI development, but Contractual Remote Data Annotation typically emphasizes contractual agreements and remote flexibility.

What are the key skills and qualifications needed to thrive as a Contractual Remote Data Annotation Specialist, and why are they important?

To thrive as a Contractual Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling concepts, and often a basic understanding of machine learning or AI workflows. Proficiency with annotation platforms like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as experience with common data types such as images, text, or audio, is typically required. Reliability, time management, and clear communication are essential soft skills for meeting deadlines and maintaining quality in remote, independent work. These skills and qualifications ensure accuracy and efficiency, which are critical for producing high-quality datasets that power AI and machine learning models.

What are some common challenges faced by contractual remote data annotators, and how can they be addressed?

Contractual remote data annotators often face challenges such as repetitive tasks, maintaining accuracy over long periods, and managing communication with distributed teams. To address these, it's important to establish a structured workflow, take regular breaks to prevent fatigue, and use quality control tools provided by employers. Staying proactive in seeking clarification on annotation guidelines and participating in team discussions can also help ensure consistent results and foster a supportive remote work environment.
More about Contractual Remote Data Annotation jobs
What cities are hiring for Contractual Remote Data Annotation jobs? Cities with the most Contractual Remote Data Annotation job openings:
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Contractual Remote Data Annotation jobs near you
Infographic showing various Contractual Remote Data Annotation job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Los Angeles, CA • Remote

$20/hr

Full-time, Part-time

Posted 4 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology