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Entry Level Data Annotation Tech Jobs in Austin, TX

... technologies. Qualifications : Required : • Strong understanding of LLMs, generative AI, and ... PyTorch, TensorFlow, HuggingFace, LangChain. • Evaluation/annotation tools: Scale AI, GroundTruth ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

... Technology Date Range Apr 7, 2026 - Apr 6, 2027 Program Team Users ADMIN - Melaine Naranjo ... Power BI / Data Visualization. Entry level C++ and/or CSS. GIS. AutoCAD. Revit. LOCATION ...

... tools for data management, annotation, and mapping. You will: * Work closely with design and ... Experience with modern web frameworks and tech stacks such as Node.js, React, and Webpack

As your technology partner we utilize our great experience and expertise in industry of information ... Looking for an opportunity to help drive NSM business decisions through applications and data? We ...

As an Entry Level Business Analyst, you'll work with cross functional teams to translate business ... You'll gain hands on experience with modern analysis methods, data tools, and technology enabled ...

As an Entry Level Software Developer, you'll work with cross functional teams to design, build ... technology solutions. • Support application integrations, data connections, databases, and other ...

Technologies used in this position can range from languages such as C++, Python, and TypeScript ... genetic data,sexual orientation, gender identity or other legally protected status. ITAR U.S.

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Showing results 41-60

Entry Level Data Annotation Tech information

See Austin, TX salary details

$11

$19

$26

How much do entry level data annotation tech jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for entry level data annotation tech in Austin, TX is $19.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.20 per hour, depending on experience, location, and employer.

What is an entry level data annotation tech?

An Entry Level Data Annotation Tech is responsible for labeling and categorizing data, such as images, text, or audio, to help train machine learning models. This role typically involves using specialized software to accurately tag and classify data according to specific guidelines. It is a foundational position within the field of artificial intelligence and data science, requiring attention to detail and consistency. No advanced technical skills are usually required, making it a suitable entry point for those interested in AI or data-related careers.

What are the key skills and qualifications needed to thrive as an entry level data annotation tech?

To thrive as an Entry Level Data Annotation Tech, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation software, data labeling platforms, and basic spreadsheet tools is typically required. Patience, consistency, and effective communication help ensure accuracy and efficient teamwork. These skills and qualities are essential for delivering high-quality labeled data that supports machine learning and AI development.

What are some common challenges faced by entry level data annotation techs, and how can they be managed?

Entry Level Data Annotation Techs often encounter challenges like maintaining focus during repetitive tasks, ensuring accuracy under tight deadlines, and adapting to evolving annotation guidelines. To manage these, it's helpful to take regular breaks, double-check your work, and actively seek feedback from supervisors. Collaborating with teammates and participating in training sessions can also improve both speed and consistency, making the work more manageable and rewarding.

What is the difference between Entry Level Data Annotation Tech vs Entry Level Data Labeler?

AspectEntry Level Data Annotation TechEntry Level Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles

Both roles involve labeling data for AI training, requiring similar skills and environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes the technical aspect of annotation, while 'Data Labeler' is a more general term. Both are entry-level positions vital for AI development in tech industries.

Can I work for an entry level data annotation tech with no experience?

Entry level data annotation technician roles typically do not require prior experience, as they focus on labeling data such as images, text, or audio. Basic computer skills, attention to detail, and the ability to follow instructions are usually sufficient to start, and training is often provided on the job.

How do I get a job in data annotation?

To get a job as a data annotation technician, you should have basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Many entry-level roles do not require formal certifications, but some employers prefer candidates with knowledge of data labeling, image or text annotation, and understanding of data privacy. Applying through online job boards and demonstrating accuracy and reliability can improve your chances of securing a position.

How hard is it to get into an entry level data annotation tech?

Entry level data annotation tech roles typically require basic computer skills, attention to detail, and familiarity with data labeling tools. Most positions do not require advanced education or certifications, making them accessible to beginners, though some companies may prefer prior experience with specific software or data types.

How much does entry level data annotation tech pay?

Entry-level data annotation technicians typically earn between $12 and $20 per hour, depending on the employer and location. The role often requires basic computer skills and attention to detail, with pay rates varying based on experience and the complexity of annotation tasks.

What are the most commonly searched types of Data Annotation Tech jobs in Austin, TX?

The most popular types of Data Annotation Tech jobs in Austin, TX are:

What job categories do people searching Entry Level Data Annotation Tech jobs in Austin, TX look for?

The top searched job categories for Entry Level Data Annotation Tech jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Data Annotation Tech jobs?

Cities near Austin, TX with the most Entry Level Data Annotation Tech job openings:

Infographic showing various Entry Level Data Annotation Tech job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,867 per year, or $19.2 per hour.

Social Science/Humanities Research Associate I

Austin, TX • On-site

The University of Texas at Austin
Education • 10K+ employees

$36K/yr

Full-time

Re-posted 19 hours ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz


Job description

Job Posting Title:
Social Science/Humanities Research Associate I
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Hiring Department:
Department of Psychology
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Non-Exempt from FLSA
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Earliest Start Date:
Sep 01, 2026
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Position Duration:
Expected to Continue Until Aug 31, 2027
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Location:
UT MAIN CAMPUS
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Job Details:
General Notes
The Social Science/Humanities Research Associate I will work closely with the PI and lab group to coordinate day-to-day lab operations. The position provides a unique opportunity to obtain hands-on experiences on using cutting-edge technology to study human cognition and learning. There are also opportunities to co-author research publications and presentations. This position is ideal for highly motivated individuals who are interested in preparing for a graduate career.
This is a one-year fixed term position.
Purpose
The Social Science/Humanities Research Associate I will work closely with the PI and lab group to coordinate day-to-day lab operations.
Responsibilities
  • Collecting data through complex laboratory/scientific experiments, techniques, and procedures.
  • Managing, coding, and analyzing video and time series data; Coordinating, training, and working with undergraduate research assistants.
  • Recruiting and scheduling infants and young children.
  • Assisting with new experimental setups.

Required Qualifications
  • BA or BS in psychology, cognitive science, or related field
  • Experience working with infants and young children
  • Highly motivated to learn new technology, including computer programming and sensing device setup
  • Excellent interpersonal skills
  • Strong communication, organization and multitasking skills in a collaborative research environment
  • Interest in development and learning

Preferred Qualifications
  • Experience using Head-Mounted Eye tracking system
  • Experience with MATLAB
  • Experience with eye-tracking data annotation
  • Experience with experimental studies with young children.

Salary
$36,000
Required Materials
  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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