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Ai Annotation Jobs in Austin, TX (NOW HIRING)

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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AI Finance Expert - Remote

Austin, TX · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

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Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

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Showing results 1-20

Ai Annotation information

See Austin, TX salary details

$96.7K

$128K

$168.4K

How much do ai annotation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai annotation in Austin, TX is $128,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $156,200.00 per year, depending on experience, location, and employer.

What is an AI annotation?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What does an AI annotation specialist do?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

What are the key skills and qualifications needed to thrive in the AI annotation position?

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

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

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

What are popular job titles related to Ai Annotation jobs in Austin, TX?

For Ai Annotation jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Ai Annotation jobs?

Cities near Austin, TX with the most Ai Annotation job openings:

Infographic showing various Ai Annotation job openings in Austin, TX as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, 3% Contract, and 3% Nights. Highlights an 55% In-person, 3% Hybrid, and 42% Remote job distribution, with an average salary of $128,045 per year, or $61.6 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Austin, TX • Remote

$100 - $200/hr

Part-time

Posted 3 days ago

New


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.