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Monday Through Friday Data Annotation Tech Jobs in Austin, TX

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Monday Through Friday Data Annotation Tech information

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$12

$22

$34

How much do monday through friday data annotation tech jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for monday through friday data annotation tech in Austin, TX is $22.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $26.92 per hour, depending on experience, location, and employer.

What is a Monday Through Friday Data Annotation Tech?

A Monday Through Friday Data Annotation Tech is a professional responsible for labeling, tagging, or categorizing data—such as text, images, audio, or video—during regular weekday business hours. This role is crucial for training and improving machine learning and artificial intelligence models, as annotated data helps algorithms learn to recognize patterns accurately. Data annotation techs typically use specialized software to ensure data is labeled correctly and consistently according to project guidelines. Working Monday through Friday often means a standard workweek schedule, providing predictable hours and work-life balance.

What does a Monday Through Friday Data Annotation Tech do?

As a Monday Through Friday Data Annotation Tech, you can expect a structured workweek focused on labeling and categorizing large datasets, often using specialized software tools. Your daily responsibilities may include reviewing data for accuracy, following detailed annotation guidelines, and meeting productivity targets. Collaboration is common—techs often communicate with project managers, quality assurance teams, and sometimes developers to clarify requirements or resolve ambiguities in the data. Regular check-ins and feedback sessions help ensure consistency and address any challenges that arise, making teamwork and strong communication skills essential for success in this role.

What skills and qualifications are needed to thrive as a Monday Through Friday Data Annotation Tech?

To thrive as a Data Annotation Tech, you need strong attention to detail, accuracy, and basic computer proficiency, typically supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes spreadsheet software is commonly required. Strong organizational skills, time management, and the ability to work independently or as part of a remote team are valuable soft skills. These abilities ensure precise data preparation, which is crucial for training high-quality machine learning models.

What is the difference between Monday Through Friday Data Annotation Tech vs Data Labeling Specialist?

AspectMonday Through Friday Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, training in annotation toolsSimilar credentials, often with training in labeling software
Work EnvironmentOffice or remote, consistent weekday scheduleOffice or remote, similar schedule
Industry UsageCommon in AI/ML companies, tech firmsUsed in AI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Both roles involve data annotation and labeling, often with similar credentials and work environments. The main difference lies in terminology; 'Data Labeling Specialist' is a broader term used across industries, while 'Data Annotation Tech' emphasizes the technical aspect of annotation tools. Both roles typically follow a Monday through Friday schedule and are essential in AI development.

Is Monday Through Friday Data Annotation Tech still hiring?

The availability of Monday Through Friday Data Annotation Tech positions depends on the employer and current job market conditions. These roles are often posted on job boards and may require familiarity with annotation tools and attention to detail. Candidates should check specific company listings for the most up-to-date hiring status.

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

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

What are popular job titles related to Monday Through Friday Data Annotation Tech jobs in Austin, TX?

For Monday Through Friday Data Annotation Tech jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Monday Through Friday Data Annotation Tech jobs in Austin, TX look for?

The top searched job categories for Monday Through Friday Data Annotation Tech jobs in Austin, TX are:

Monday Through Friday Data Annotation Tech jobs near you
Infographic showing various Monday Through Friday Data Annotation Tech job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,095 per year, or $22.6 per hour.

AI Trainer - Freelance Data Annotator

Austin, TX • Remote

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

$20/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

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