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Full Time Annotation Jobs in Austin, TX (NOW HIRING)

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CAD Technician

San Marcos, TX · On-site

$23 - $29/hr

Working knowledge of CAD standards, Civil 3D features, annotation styles, line styles, sheet set ... Applicants must be currently authorized to work in the United States on a full-time basis Company ...

Taylor, TX Position Type: Full-time Benefits: This position is eligible for WGNSTAR's full benefits ... Strong experience in detailed annotation and drawing production * Revit production experience

... team on annotation guidelines). * Evaluate structured extraction from real business documents ... NET, DDL). Sustainment offers a competitive benefits package for full time employees including ...

... team on annotation guidelines). * Evaluate structured extraction from real business documents ... NET, DDL). Sustainment offers a competitive benefits package for full time employees including ...

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Full Time Annotation information

See Austin, TX salary details

$38.7K

$74.8K

$122.4K

How much do full time annotation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for full time annotation in Austin, TX is $74,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $87,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time annotation specialist, and why are they important?

To excel as a Full Time Annotation Specialist, you need keen attention to detail, strong analytical skills, and a solid understanding of data labeling concepts, often supported by a relevant degree or prior experience in data-related roles. Familiarity with annotation platforms, data management tools, and sometimes scripting languages like Python is commonly required. Strong communication, time management, and the ability to focus on repetitive tasks help individuals stand out in this position. These skills are essential to ensure high-quality, accurate data annotations that directly impact the performance of AI and machine learning models.

What are some common challenges faced in a full time annotation role, and how can they be addressed?

Full-time annotation professionals often encounter challenges such as maintaining consistency and accuracy across large datasets, managing repetitive tasks, and meeting tight deadlines. These challenges can be addressed by developing a strong attention to detail, regularly cross-checking work, and utilizing annotation guidelines provided by the employer. Additionally, collaborating with team members and participating in quality assurance reviews helps ensure high standards and reduces errors. Many organizations offer training and feedback sessions to support continuous improvement and professional growth in this role.

What is a full time annotation?

A Full Time Annotation job involves labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. Annotators carefully tag or highlight specific information in datasets, following detailed guidelines to ensure accuracy. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing, where high-quality labeled data is crucial for model performance. Full Time Annotation positions typically require attention to detail, consistency, and sometimes familiarity with specialized tools or subject matter.

What is the difference between Full Time Annotation vs Part Time Annotation?

AspectFull Time AnnotationPart Time Annotation
Work HoursTypically 40 hours/weekFewer hours, flexible schedule
CredentialsBasic training, attention to detailSame as full time, often same requirements
Work EnvironmentOffice or remote, consistent scheduleFlexible, part-time settings
Employer UsageFull-time positions in tech companies, AI firmsPart-time roles, freelance or contract basis

Full Time Annotation involves working a standard full-time schedule with consistent hours, often in a dedicated work environment, suitable for those seeking stable employment. Part Time Annotation offers flexible hours, ideal for individuals balancing other commitments or seeking supplemental income. Both roles require similar skills and training but differ mainly in hours and employment structure.

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 Full Time Annotation jobs in Austin, TX? For Full Time Annotation jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Full Time Annotation jobs in Austin, TX look for? The top searched job categories for Full Time Annotation jobs in Austin, TX are:
What cities near Austin, TX are hiring for Full Time Annotation jobs? Cities near Austin, TX with the most Full Time Annotation job openings:
Infographic showing various Full Time Annotation job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $74,842 per year, or $36 per hour.

Project Perseus \u007C Speech & Voice AI Analyst - Arabic Speakers

Welo Data

Austin, TX

$26 - $28/hr

Full-time

Re-posted 8 days ago


Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) 
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions 
What We’re Looking For
  • Native-level fluency in Arabic 
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus 
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Why This Role

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.

It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.


Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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.