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Data Annotation Part Time Jobs in Texas (NOW HIRING)

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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Data Annotation Part Time information

What is a data annotation part time job?

Data annotation part time jobs involve labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. This work can include identifying objects in photos, transcribing audio, or categorizing content. Part time positions offer flexible hours and may be remote, making them a popular choice for students or those looking to supplement their income. Attention to detail and the ability to follow guidelines are important skills for these roles.

What are the key skills and qualifications needed to thrive as a data annotation part time worker?

To thrive as a Data Annotation Part Time worker, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet software is typically required. Reliability, focus, and the ability to follow guidelines precisely are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which is crucial for training effective AI and machine learning models.

What are some common challenges faced by part-time data annotation professionals, and how can they be managed?

Part-time data annotation professionals often encounter challenges such as repetitive tasks, maintaining concentration over extended periods, and understanding nuanced annotation guidelines. To manage these challenges, it's helpful to take regular short breaks, stay organized with clear labeling conventions, and communicate proactively with team leads or project managers when questions arise. Many teams also provide regular training updates and feedback sessions, which support continuous improvement and help annotators stay aligned with project requirements.

What is the difference between Data Annotation Part Time vs Data Labeling Specialist?

AspectData Annotation Part TimeData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or office-based; flexible hoursRemote or office; often project-based
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusAnnotating data for training AI modelsLabeling data to improve model accuracy

Data Annotation Part Time and Data Labeling Specialist roles are similar, focusing on preparing data for AI training. The main difference lies in terminology; 'Data Annotation' emphasizes the process, while 'Data Labeling' refers to the task. Both roles typically require similar skills and work environments, making them interchangeable in many contexts.

Does data annotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with wages varying depending on the platform, complexity of the work, and experience. Many part-time data annotation roles offer minimum wage or slightly above, and some platforms provide flexible schedules for remote work. Payment is generally reliable if the work is completed accurately and on time.

What are the most commonly searched types of Data Annotation jobs in Texas?

The most popular types of Data Annotation jobs in Texas are:

What are popular job titles related to Data Annotation Part Time jobs in Texas?

For Data Annotation Part Time jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Data Annotation Part Time jobs?

Cities in Texas with the most Data Annotation Part Time job openings:

Infographic showing various Data Annotation Part Time job openings in Texas as of August 2026, with employment types broken down into 100% Part Time. Highlights an 60% In-person, and 40% Remote job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

Houston, TX • Remote

$100 - $200/hr

Part-time

Posted 7 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.