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Remote Data Labeling Jobs in Austin, TX (NOW HIRING)

Contractor Location: Remote Role Overview We are looking for detail-oriented Video Annotation ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

High Volume (TOFU) Recruiter

Austin, TX ยท On-site +1

$55K - $100K/yr

... standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

Delivery Lead

Austin, TX ยท Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

Data Annotation Specialist

Austin, TX ยท Remote

$25 - $35/hr

Annotate large datasets with accurate labels that will be used to train and validate AI models ... remote position. Application Deadline This position is anticipated to close on Sep 9, 2026. About ...

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Direct Response Copywriter - REMOTE

Austin, TX ยท On-site +1

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

... labels without lies. Founded on one simple belief -- that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

US (Remote) Job ID: 48860 Do you thrive on building strong customer relationships and driving ... An understanding of RFID technologies with a focus on the RFID tags and labels would be helpful but ...

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Remote Data Labeling information

See Austin, TX salary details

$10

$33

$75

How much do remote data labeling jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote data labeling in Austin, TX is $33.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.75 and $45.52 per hour, depending on experience, location, and employer.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

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

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

What are popular job titles related to Remote Data Labeling jobs in Austin, TX?

For Remote Data Labeling jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Remote Data Labeling jobs?

Cities near Austin, TX with the most Remote Data Labeling job openings:

Infographic showing various Remote Data Labeling job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,096 per year, or $33.7 per hour.

Video Annotation Expert - Remote

Austin, TX โ€ข Remote

$50 - $90/hr

Full-time

Posted 3 days ago

New


Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.