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Freelance Annotation Jobs in Austin, TX (NOW HIRING)

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Freelance Annotation information

See Austin, TX salary details

$14

$47

$131

How much do freelance annotation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance annotation in Austin, TX is $47.29, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $61.25 per hour, depending on experience, location, and employer.

What is freelance annotation?

Freelance annotation involves labeling or tagging data—such as text, images, audio, or video—to help train artificial intelligence and machine learning models. Annotators work independently, usually on a per-task or per-project basis, for companies needing accurate data labeling. Common tasks include drawing bounding boxes on images, classifying text, or transcribing audio. Freelancers can work remotely and often choose their own schedules, making it a flexible job option. Accuracy and attention to detail are crucial for success in this field.

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

To excel as a Freelance Annotation Specialist, you need strong attention to detail, proficiency in data labeling, and a solid understanding of language or visual data, often supported by relevant coursework or experience. Familiarity with annotation tools like Labelbox, Prodigy, or Amazon SageMaker Ground Truth is typically required, along with knowledge of various data formats. Excellent time management, communication, and the ability to follow complex instructions distinguish top performers in this role. These skills ensure data accuracy and reliability, which are crucial for training effective AI and machine learning models.

What are some common challenges freelance annotators face when working on multiple projects simultaneously?

Freelance annotators often juggle several projects at once, which can lead to challenges such as managing different annotation guidelines, meeting tight deadlines, and ensuring consistent quality across tasks. It's crucial to stay organized, communicate proactively with project managers, and clarify any ambiguities in instructions early on. Effective time management and attention to detail help maintain accuracy and reliability, which are key to building a strong reputation in this field.

What is the difference between Freelance Annotation vs Data Labeler?

AspectFreelance AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexibleRemote, flexible
Industry UsageAI training, machine learning projectsAI training, machine learning projects
Search & Comparison IntentOften compared for freelance AI data tasksOften compared for entry-level data tasks

Freelance Annotation involves independently performing data annotation tasks for AI and machine learning projects, often with flexible schedules. Data Labeler is a similar role focused on labeling data for AI training, typically within companies or as freelancers. Both roles require attention to detail and basic technical skills, but Freelance Annotation emphasizes independence and project variety, while Data Labeler may be more associated with specific employer assignments.

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

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

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

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

What job categories do people searching Freelance Annotation jobs in Austin, TX look for?

The top searched job categories for Freelance Annotation jobs in Austin, TX are:

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

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

Freelance Annotation jobs near you
Infographic showing various Freelance Annotation job openings in Austin, TX as of August 2026, with employment types broken down into 42% Full Time, 15% Part Time, 12% Temporary, and 31% Contract. Highlights an 7% In-person, and 93% Remote job distribution, with an average salary of $98,358 per year, or $47.3 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Austin, TX • Remote

$20/hr

Part-time

Re-posted 19 days ago

Job description

Please submit your resume in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

While each project involves unique tasks, contributors may:

  • Carefully review provided data (text, images, or videos);
  • Label or classify content based on project guidelines;
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

What we look for

This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • Logical thinking, fact-checking and reasoning abilities;
  • Strong attention to detail and ability to understand and follow complex instructions;
  • Strong communication skills, including the ability to ask clarifying questions when needed;
  • Genuine interest in technology and artificial intelligence;
  • Strong written and spoken English (C1+).

How it works 

Apply Pass qualification(s)  Join a project (when available) Complete tasks Get paid

Why this freelance opportunity might be a great fit for you

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.

Apply