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Annotation Tech Jobs (NOW HIRING)

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

... our technology. We are now seeking passionate individuals to join us in the next phase of our ... Own annotation operations end-to-end * Manage the people side of data annotations * Create ...

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

Use annotation tools to mark up text, images, or other data according to specific guidelines ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

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Annotation Tech information

What is an annotation tech?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

What skills and qualifications are needed to thrive as an annotation tech?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

What are common challenges faced by annotation techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.
More about Annotation Tech jobs
What cities are hiring for Annotation Tech jobs? Cities with the most Annotation Tech job openings:
What states have the most Annotation Tech jobs? States with the most job openings for Annotation Tech jobs include:
What job categories do people searching Annotation Tech jobs look for? The top searched job categories for Annotation Tech jobs are:
Annotation Tech jobs near you
Infographic showing various Annotation Tech job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 12% Part Time, 12% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data Annotation Specialist

Saronic Technologies

Austin, TX • On-site

Contractor

Re-posted 23 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. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.

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