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

HumanSignal

High Volume (TOFU) Recruiter

Austin, TX · 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 ...

HumanSignal

Delivery Lead

Austin, TX · 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 ...

TEKsystems

Data Annotation Specialist

Austin, TX · 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 ...

Truvani

Direct Response Copywriter - REMOTE

Austin, TX · Remote

$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 ...

Truvani

Direct Response Copywriter - REMOTE

Austin, TX · Remote

$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 ...

Truvani

Direct Response Copywriter - REMOTE

Austin, TX · 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 ...

ASSA ABLOY

Sales Manager

Austin, TX · Remote

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 ...

ASSA ABLOY

Sales Manager, ISC Oil & Gas

Austin, TX · On-site +1

... wireless data exchange, identification, collection, and management across a broad range of IoT ... labels for the industry & logistics, healthcare, animal identification, and fueling automation ...

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Data Labeler Remote information

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How much do data labeler remote jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data labeler remote in Austin, TX is $38.34, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $43.37 per hour, depending on experience, location, and employer.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much does a data labeler remote make?

Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.

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

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

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

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

What job categories do people searching Data Labeler Remote jobs in Austin, TX look for?

The top searched job categories for Data Labeler Remote jobs in Austin, TX are:

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

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

Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 16% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $79,753 per year, or $38.3 per hour.

AI Trainer - Freelance Data Annotator

Austin, TX • Remote

Mindrift - Data annotation
See more jobs at Mindrift - Data annotationexternal

$20/hr

Part-time

Re-posted 23 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