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Annotation Labelling Jobs in Austin, TX (NOW HIRING)

Welocalize

Data Labeling Associate

Austin, TX

$34/hr

WHAT YOU'LL DO • 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 ...

Welocalize

Data Labeling Associate

Austin, TX

$34/hr

WHAT YOU'LL DO • 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 ...

Apptronik

Integration Engineer - Connect

Austin, TX · On-site

$103K - $138K/yr

Design and implement intuitive interfaces and workflows for facility mapping, map annotation, labeling, and work ingestion queues. * Fleet Coordination: Develop and maintain systems for coordinating ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Austin, TX? For Annotation Labelling jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Austin, TX look for? The top searched job categories for Annotation Labelling jobs in Austin, TX are:
What cities near Austin, TX are hiring for Annotation Labelling jobs? Cities near Austin, TX with the most Annotation Labelling job openings:
Annotation Labelling jobs near you
Search and Data Labelling Rater - German

Search and Data Labelling Rater - German

Welo Data

Austin, TX • Remote

$7/hr

Part-time

Posted 5 days ago

Job description

We are looking for detail-oriented Search & Data Labeling Raters specifically - German Language to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.

Key Responsibilities:
  • Analyze and understand the intent behind customer search queries
  • Identify product types (PT) and relevant attributes (e.g., brand, size, color) within queries
  • Evaluate the relevance between search queries and product listings using defined guidelines (ESCI framework)
  • Determine product availability and validate product links
  • Provide accurate, consistent, and high-quality annotations
  • Follow project guidelines and meet productivity and quality benchmarks

Project Details:

  • Start Date: ASAP
  • Duration: 4 weeks
  • Task Type: AI Data Annotation 
  • Job Type: Freelance contract
  • Pay Rate: $7 USD/hour
  • Location: Remote

Requirements:

  • Strong analytical and comprehension skills
  • Ability to understand e-commerce search behavior
  • High attention to detail and accuracy
  • Basic understanding of online shopping platforms
  • Proficiency in the required language
  • Ability to follow detailed guidelines and work independently

Join our team and help shape the future of AI communication!

$7 - $7 an hour

Why Join Welo Data?  

✨ Limitless Flexibility  

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.   

🌱 Limitless Growth  

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.   

🌍 Limitless Support  

Be part of a global contributor community with responsive guidance and support.   

💡 Real Impact  

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.  

How to Apply? 

Apply now by answering a few quick questions to join our database and become part of our growing community. 

About Welo Data 

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.  

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. 

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.