2

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

You will be responsible for identifying, prospecting, and closing new business opportunities, selling our comprehensive suite of AI data solutions-including data collection, annotation, and ...

Delivery Lead

Dallas, TX ยท Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Previous experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting . * Experience evaluating AI-generated content or training data. * Strong hands-on ...

AI Engineer II

Dallas, TX

$96K - $132K/yr

POSITION SUMMARY McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering ... Develop and maintain data pipelines, integrations, and reusable data products that enable AI and ...

AI Engineer II

Dallas, TX

$96K - $132K/yr

POSITION SUMMARY McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering ... Develop and maintain data pipelines, integrations, and reusable data products that enable AI and ...

High Volume (TOFU) Recruiter

Dallas, TX ยท On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

AWS Solutions Architect- AI/ML

Dallas, TX ยท On-site

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... We work at the intersection of cloud, data, and AI to solve real business problems and not just ...

AWS Solutions Architect- AI/ML

Dallas, TX ยท On-site

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... We work at the intersection of cloud, data, and AI to solve real business problems and not just ...

next page

Showing results 1-20

Full Time Ai Data Annotation information

What is a full time AI data annotation job?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

What are the key skills and qualifications needed to thrive as a full time AI data annotation specialist?

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What are some common challenges faced by full time AI data annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

What are the most commonly searched types of Ai Data Annotation jobs in Dallas, TX?

The most popular types of Ai Data Annotation jobs in Dallas, TX are:

What are popular job titles related to Full Time Ai Data Annotation jobs in Dallas, TX?

For Full Time Ai Data Annotation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Full Time Ai Data Annotation jobs in Dallas, TX look for?

The top searched job categories for Full Time Ai Data Annotation jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Full Time Ai Data Annotation jobs?

Cities near Dallas, TX with the most Full Time Ai Data Annotation job openings:

Infographic showing various Full Time Ai Data Annotation job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Child Development Psychologist (PhD) - Remote

YO AI Labs

Dallas, TX โ€ข Remote

$100 - $300/hr

Full-time

Posted 8 days ago


Job description

Child Development Psychologist (PhD)

Role Type: Contractor
Location: Remote

Job Overview

We are seeking Child Development Psychologists with advanced academic expertise in child development or developmental psychology to support an AI training project. You will evaluate and annotate data, analyze developmental scenarios, and provide expert guidance to improve the accuracy, cultural relevance, and psychological integrity of AI systems. No prior AI experience is required.

Key Responsibilities
  • Review and annotate datasets related to child development and developmental psychology.
  • Evaluate AI-generated content for developmental accuracy, cultural appropriateness, and psychological relevance.
  • Analyze scenarios and test cases involving children's learning, behavior, and development.
  • Collaborate with interdisciplinary teams to provide expert psychological insights.
  • Develop and refine guidelines addressing the cognitive, linguistic, and psychosocial aspects of child development.
  • Document findings, recommendations, and evaluations clearly and accurately.
  • Contribute to improving AI systems through high-quality expert feedback.
Required Skills
  • Child development expertise
  • Developmental psychology
  • Data annotation and AI data evaluation
  • Scenario analysis
  • Cross-cultural competence
  • Guideline creation
  • Strong written communication
  • Interdisciplinary collaboration
  • Ability to work effectively in a remote environment
Preferred Qualifications
  • PhD in Child Development, Developmental Psychology, or a closely related field.
  • Research or academic experience focused on child development or developmental psychology.
  • Experience with technology, digital platforms, or AI-related projects is highly desirable.
  • Ability to work independently while collaborating with distributed teams.
  • Experience evaluating psychological or behavioral data is a plus.
Preferred Languages

We are prioritizing applicants proficient in one or more of the following languages:

Japanese, French, Tagalog, Malay, Lithuanian, Russian, Georgian, Polish, Marathi, Bengali, Urdu, Vietnamese, Swahili, Mandarin, Cantonese, Indonesian, Turkish, Gujarati, or Bulgarian.