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Data Annotation For Ai Jobs in Dallas, TX (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

New

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

New

Caterpillar

Senior Annotation & Quality Manager

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Annotation - Teams responsible for manual labeling and quality assurance of multimodal sensor data. * AI Automation Engineering - Engineers who build and maintain auto-labeling, AI-assisted ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Support the development of autonomous mining machines by executing manual data annotation, sensor data fusion, and rigorous QA review, creating high-quality datasets for advanced AI models ...

YO AI Labs

AI Consulting Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

New

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... Scale AI, Supervisely, V7, Encord, etc.) for high-precision data annotation. - Collaborate with internal and external teams to maintain data quality standards and continuously improve annotation ...

YO AI Labs

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

New

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... annotation and rigorous QA review for perception (video, images, sensor data) and VLA (Vision ... AI, Supervisely, V7, Encord, etc.). - Ability to systematically break down and label complex heavy ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... AI data, join us in building the ground-truth foundation for next-generation Vision-Language-Action (VLA) models. Required Skills - Data Annotation Labelling QA for computer vision 3D spatial data ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

This role involves high-precision annotation and quality review of multi-modal data to support AI/robotics for autonomous mining equipment. The ideal candidate combines technical annotation skills ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

... for heavy mining equipment. - Perception & Sensor Annotation - Accurately label site entities ... AI, Supervisely). - Strong understanding of mining operations, spatial perception, and heavy ...

YO AI Labs

AI Software Engineer Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Analyze, review, and improve AI-generated software engineering content for technical accuracy and ... Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving

New

micro1 AI

AI Trainer - Microbiology Expert

Denton, TX · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Dallas, TX

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

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Data Annotation For Ai jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Dallas, TX • Remote

$20/hr

Contractor

Posted 13 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

Apply