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Annotation Jobs in Austin, TX (NOW HIRING)

Welo Data

Data Labeling Associate

Austin, TX

$34/hr

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Apple

AIML Data Operations Team Lead

Austin, TX

As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team's operational success, mentoring their career growth, and ...

Apple

AIML Data Operations Team Lead

Austin, TX · On-site

As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team's operational success, mentoring their career growth, and ...

Sourceability

Principal NLP Scientist

Austin, TX

Data preparation, annotation strategy, and labeling quality * Model evaluation, monitoring, and production performance * Applied NLP research and prototype development * Integration of NLP models ...

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All JobsAnnotation JobsAnnotation Jobs in Austin, TX

Annotation information

See Austin, TX salary details

$44.6K

$57.9K

$96.6K

How much do annotation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for annotation in Austin, TX is $57,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $57,500.00 per year, depending on experience, location, and employer.

What is an annotation?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

Are those data annotation jobs real?

Data annotation jobs are real positions where workers label or categorize data to train machine learning models. These jobs are often remote, require attention to detail, and may involve using specialized tools or platforms. They are commonly offered by companies in AI, machine learning, and data science industries.

What are the key skills and qualifications needed to thrive in the annotation position?

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a flexible schedule environment.

What are the typical projects or tasks an annotation specialist works on?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the most commonly searched types of Annotation jobs in Austin, TX? The most popular types of Annotation jobs in Austin, TX are:
What are popular job titles related to Annotation jobs in Austin, TX? For Annotation jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Annotation jobs in Austin, TX look for? The top searched job categories for Annotation jobs in Austin, TX are:
What cities near Austin, TX are hiring for Annotation jobs? Cities near Austin, TX with the most Annotation job openings:
Annotation jobs near you
Infographic showing various Annotation job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 51% Full Time, 44% Part Time, and 4% Contract. Highlights an 55% Physical, 1% Hybrid, and 44% Remote job distribution, with an average salary of $57,901 per year, or $27.8 per hour.

Data Annotation Specialist

Saronic Technologies

Austin, TX • On-site

Contractor

Re-posted 19 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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