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Weekend Ai Data Annotation Jobs in Texas (NOW HIRING)

... AI Data Operations who is passionate about delivering production-grade machine learning and ... Description You will lead an organization of internal domain experts, building scalable annotation ...

We are looking for Language Data Annotators to support the improvement of AI-generated content in ... annotation and labeling. What We Offer * Flexible schedule * Opportunity to earn extra income

We are looking for Language Data Annotators to support the improvement of AI-generated content in ... annotation and labeling. What We Offer * Flexible schedule * Opportunity to earn extra income

Computer Engineering

Dallas, TX · Remote

$35 - $60/hr

No AI experience required Preferred : * Prior experience with data annotation, data quality, or evaluation systems * Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to ...

... AI Data Operations who is passionate about delivering production-grade machine learning and ... You will lead an organization of internal domain experts, building scalable annotation programs ...

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

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Weekend Ai Data Annotation information

What are Weekend AI Data Annotators?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are some common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

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

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
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AI Training Specialist (Data Annotation)

Remote Talent Cloud

Houston, TX • Remote

$20/hr

Contractor

Posted 7 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