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Monday Through Friday Data Annotation Tech Jobs (NOW HIRING)

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Data Annotation Specialist

Houston, TX

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join ... We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We ...

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

As of Jun 6, 2026, the average hourly pay for monday through friday data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What does a typical week look like for a Monday Through Friday Data Annotation Tech, and how do they collaborate with team members?

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 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.

How do I pass the data annotation test?

To pass the data annotation test for a Monday through Friday Data Annotation Tech role, focus on understanding the annotation guidelines, accurately labeling data according to instructions, and demonstrating attention to detail. Familiarity with annotation tools and the ability to work efficiently within set deadlines are also important. Practice with sample datasets can improve accuracy and confidence in completing the test successfully.

What are the key skills and qualifications needed to thrive as a Monday Through Friday Data Annotation Tech, and why are they important?

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 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.
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Monday Through Friday Data Annotation Tech jobs near you

Data Annotation Specialist

Saronic Technologies

Austin, TX • On-site

Contractor

Posted 16 days ago

Job description

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms.
Job Overview
We are seeking a Data Annotation Specialist to annotate and review visual datasets used to train and evaluate machine-learning models for maritime perception and autonomy. This role supports our software, perception, and autonomy teams by ensuring labeled data is accurate, consistent, and useful for model development.
The ideal candidate has prior computer vision annotation experience, strong visual attention to detail, and the ability to maintain speed and accuracy through repetitive labeling work. This person should be comfortable following detailed instructions, adapting as labeling rules change, and supporting a fast-moving technical team.
This is an on-site, full-time contract role with an intended path to full-time conversion based on performance and business needs. Upon conversion, the employee would be eligible for Saronic's standard full-time benefits. This position reports to the Data Annotation Manager.
Responsibilities
  • Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods.
  • Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy.
  • Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets.
  • Apply evolving labeling guidelines and escalate unclear edge cases when needed.
  • Perform both manual annotation work and quality review of auto-labeled data as needed.
  • Willingness to support priority project deadlines when needed.
Qualifications
  • Prior experience in computer vision data annotation or labeling.
  • Familiarity with annotation tools such as Labelbox, CVAT, or similar
  • Experience with annotation types such as segmentation masks, bounding boxes, key points, object tracking, or classification.
  • Strong visual pattern recognition, spatial reasoning, and attention to detail.
  • Comfortable performing repetitive, process-driven work for extended periods while maintaining quality.
  • Able to adapt to changing project priorities, labeling rules, and quality standards in a fast-paced environment.
  • Strong communication skills and willingness to ask questions, accept feedback, and collaborate with the team.
  • Basic understanding of maritime environments, autonomous systems, robotics, or defense technology is a plus.

Saronic CCPA Notice for Candidates and California Employees
If this role is based in the United States, it requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).
Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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