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Remote Annotation Jobs in Austin, TX (NOW HIRING)

PTP

Customer Experience Analyst - REMOTE

Austin, TX · On-site +1

About Us: * Customer Experience Analyst - REMOTE PTP is a fast-growing system integrator that ... Call Annotation: Perform detailed annotations to understand customer intents, evaluate AI ...

PTP

Customer Experience Analyst - REMOTE

Austin, TX · Remote

About Us: * Customer Experience Analyst - REMOTE PTP is a fast-growing system integrator that ... Call Annotation: Perform detailed annotations to understand customer intents, evaluate AI ...

Avride

Software Research Engineer (ML)

Austin, TX · On-site +1

$203.10K/yr

Design and implement algorithms that optimize annotation, including auto-labeling systems that ... The employer is not offering relocation sponsorship, and remote work options are not available.

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$15

$27

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How much do remote annotation jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote annotation in Austin, TX is $27.43, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $32.88 per hour, depending on experience, location, and employer.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

What are the key skills and qualifications needed to thrive in the Remote Annotation position, and why are they important?

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.
More about Remote Annotation jobs
What are the most commonly searched types of Annotation jobs in Austin, TX? The most popular types of Annotation jobs in Austin, TX are:
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What cities near Austin, TX are hiring for Remote Annotation jobs? Cities near Austin, TX with the most Remote Annotation job openings:
Remote Annotation jobs near you
Finance AI Trainer - Remote, Flexible Hours

Finance AI Trainer - Remote, Flexible Hours

Data Annotation

Georgetown, TX • Remote

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Data Annotation is seeking finance professionals to train AI Assistant models, supporting the next generation of AI. This remote role offers flexibility to work part-time or full-time, focusing on financial principles and assisting AI in understanding complex scenarios. Ideal candidates should have a Master's or PhD in a finance-related field, proficient financial reasoning, and a commitment to detail.

This is a paid contract position with competitive hourly rates. #J-18808-Ljbffr

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