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Full Time Machine Learning Data Annotation Jobs in Austin, TX

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in communication ...

Sr Machine Learning Engineer

Austin, TX

$55.25 - $73/hr

... machine learning, and AI models across key business areas such as credit, fraud, marketing, and ... It involves assessing model soundness, data quality, and performance to identify and mitigate model ...

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

Responsibilities : • Design, train, and iterate on machine learning models for detection, classification, and tracking of aerial targets. • Own the dataset pipeline end-to-end, including data ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... The role partners across data, engineering, business applications, operations, IAM, and governance ...

Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... The role partners across data, engineering, business applications, operations, IAM, and governance ...

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Showing results 1-20

Full Time Machine Learning Data Annotation information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 4, 2026, the average yearly pay for full time machine learning data annotation in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Austin, TX? The most popular types of Machine Learning Data Annotation jobs in Austin, TX are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Austin, TX? For Full Time Machine Learning Data Annotation jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Austin, TX look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Austin, TX are:
What cities near Austin, TX are hiring for Full Time Machine Learning Data Annotation jobs? Cities near Austin, TX with the most Full Time Machine Learning Data Annotation job openings:

Machine Learning Engineer L-1

Lauretta AI LLC

Austin, TX • On-site

$80K - $93K/yr

Full-time

Posted 10 days ago


Job description


  • Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline
  • Works with data and software engineering team to integrate models into pipeline
  • Support construction and iteration of product prototypes
  • Support data pipeline engineering and automation
  • Stay up to date with state of the art developments in computer vision tasks
  • Other duties as required by supervisors
Additional Requirements:
  • Due to government contract requirements, applicants are able to get clearance are preferred
  • Experience working in MLOps and building pipelines for deploying ML models
  • Programming skills in Python, C/C++ or Javascript
  • Understanding of machine learning and deep learning fundamentals
  • Develop internal tooling as needed to support ML efforts
  • Production deployment and performance monitoring including code refactoring and optimization as needed
  • Support infrastructure engineering, security engineering, and architecture
  • Willing to learn and work well in a cross functional team environment
  • Fresh graduates are welcome to apply on a full-time basis