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Senior Data Annotation Analyst Jobs in Austin, TX

Charles Schwab Corporation

Senior Data Scientist

Austin, TX · On-site

$180 - $240/hr

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

Charles Schwab

Senior Data Scientist

Austin, TX · On-site

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our mobile advertising platform. You will sit at the intersection of product, engineering, and business ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our mobile advertising platform. You will sit at the intersection of product, engineering, and business ...

Smadex

Senior Data Scientist

Austin, TX · On-site

$100 - $130/hr

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our mobile advertising platform. You will sit at the intersection of product, engineering, and business ...

Jobsbridge

Sr. Data Modeler

Austin, TX · On-site

... data analysis tools and/or techniques. 3+ years experience defining data architecture in a ... senior leadership. 3+ years of experience with commercial off-the-shelf package integration. 6+ ...

Guidehouse

Senior Data Analyst - Child Welfare

Austin, TX · On-site

$102K - $170K/yr

Ability to Obtain Public Trust We are seeking a Data Analyst with strong child welfare domain expertise to support a state agency modernization effort. This role focuses on working directly with ...

Guidehouse

Senior Data Analyst - Child Welfare

Austin, TX · On-site

$102K - $170K/yr

Ability to Obtain Public Trust We are seeking a Data Analyst with strong child welfare domain expertise to support a state agency modernization effort. This role focuses on working directly with ...

Guidehouse

Senior Data Analyst - Child Welfare

Austin, TX · On-site

$102K - $170K/yr

Ability to Obtain Public Trust We are seeking a Data Analyst with strong child welfare domain expertise to support a state agency modernization effort. This role focuses on working directly with ...

Realtor.com Careers

Senior Data Scientist

Austin, TX · On-site

About the Role This role serves as a senior analytics partner on consumer product experiences, driving data-informed decision-making across our content and visualization ecosystem. The position owns ...

Realtor.com Careers

Senior Data Scientist

Austin, TX · On-site

About the Role This role serves as a senior analytics partner on consumer product experiences, driving data-informed decision-making across our content and visualization ecosystem. The position owns ...

Astera Cancer Care

Sr. Data Engineer

Austin, TX · On-site

$130 - $170/hr

OneOncology is seeking a strong Sr. Data Engineer for a full-time role based in Austin, TX, ... Proactive and analytical problem-solving skills with the ability to troubleshoot and optimize ...

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All JobsData Annotation Analyst JobsSenior Data Annotation Analyst JobsSenior Data Annotation Analyst Jobs in Austin, TX

Senior Data Annotation Analyst information

See Austin, TX salary details

$54.5K

$98.4K

$134.3K

How much do senior data annotation analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior data annotation analyst in Austin, TX is $98,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

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

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

What cities near Austin, TX are hiring for Senior Data Annotation Analyst jobs?

Cities near Austin, TX with the most Senior Data Annotation Analyst job openings:

Senior Data Annotation Analyst jobs near you
Infographic showing various Senior Data Annotation Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $98,359 per year, or $47.3 per hour.

Senior Data Scientist

Charles Schwab Corporation

Austin, TX • On-site

$180 - $240/hr

Other

Posted 11 days ago

Job description

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology products and services that support our commitment to democratizing access to investing and financial planning.

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI.

As a Senior AI & Data Scientist, you will help shape the future of client and employee experiences by leading advanced analytics, machine learning, generative AI, and data science solutions that solve complex business challenges and create measurable value.

In this role, you will lead and develop a team of AI and Data Science professionals while partnering across business, product, engineering, risk, and operations teams to define AI roadmaps and move high-impact solutions from concept to production. Your ability to combine technical expertise, product thinking, project leadership, and sound decision-making will be key as you evaluate emerging technologies, influence enterprise AI strategy, and establish scalable practices for responsible AI, governance, MLOps, and enterprise deployment.

What you have

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • 8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Predictive Analytics, or Advanced Analytics
  • 3+ years of experience serving as a technical subject matter expert, providing mentorship, code reviews, and guidance on AI/ML best practices.
  • 3+ years of hands-on experience designing, developing, and deploying machine learning or AI solutions in production environments
  • Demonstrated experience with machine learning, statistical modeling, predictive analytics, natural language processing, and/or Generative AI
  • Proficiency in Python, SQL, and modern AI/ML frameworks and tools
  • Experience translating business requirements into scalable, data-driven solutions in partnership with business and technology stakeholders
  • Experience leading cross-functional projects and delivering complex initiatives from concept through implementation
  • Strong analytical thinking, problem-solving, communication, and stakeholder management skills

Preferred Qualifications

  • Master’s or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or a related field
  • Experience leading teams that develop Generative AI, Large Language Model, Retrieval-Augmented Generation, Agentic AI, or NLP-based solutions
  • Experience building and deploying AI/ML solutions in cloud environments such as Azure, AWS, or Google Cloud
  • Product management or product strategy experience, including identifying opportunities and defining AI-enabled roadmaps
  • Experience with MLOps, model governance, responsible AI, model monitoring, and enterprise-scale deployment practices
  • Prior experience in financial services, digital products, client experience, risk management, compliance, or related domains
  • Experience evaluating and adopting emerging AI technologies to drive innovation and operational efficiency
  • Demonstrated ability to influence senior leaders and drive alignment across business, product, engineering, and data science teams
  • Professional certifications in AI, Machine Learning, Cloud Computing, Data Science, Agile, or Project Management
  • Passion for mentoring and developing technical talent while fostering a culture of innovation, experimentation, and continuous learning

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

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