Data Scientist II
Austin, TX · On-site
The Data Scientist II will work closely with Data Science, Product, and Engineering teams to build ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...
Data Scientist II
Austin, TX · On-site
The Data Scientist II will work closely with Data Science, Product, and Engineering teams to build ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...
... engineering teams, and maintaining the customer relationship. You will need to understand the ... You will collaborate with cross-functional teams to define annotation requirements, manage ...
... engineering teams, and maintaining the customer relationship. You will need to understand the ... You will collaborate with cross-functional teams to define annotation requirements, manage ...
AIML Data Operations - Account & Program Manager
$175K - $263K/yr
Build a program with operations, engineering, and business teams to deliver annotated data to engineering teams across Apple. Lead annotation projects, ensuring follow-through on operational ...
AIML Data Operations - Account & Program Manager
$175K - $263K/yr
Build a program with operations, engineering, and business teams to deliver annotated data to engineering teams across Apple. Lead annotation projects, ensuring follow-through on operational ...
AIML Data Operations - Account & Program Manager
$175K - $263K/yr
Build a program with operations, engineering, and business teams to deliver annotated data to engineering teams across Apple. Lead annotation projects, ensuring follow-through on operational ...
AIML Data Operations - Account & Program Manager
$175K - $263K/yr
Build a program with operations, engineering, and business teams to deliver annotated data to engineering teams across Apple. Lead annotation projects, ensuring follow-through on operational ...
Data Scientist II
Austin, TX · On-site
Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...
Data Scientist II
Austin, TX · On-site
Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...
Data Scientist II
Austin, TX · On-site +1
Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...
Quick apply
Data Scientist II
Austin, TX · On-site +1
Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...
... data engineers, product managers, analysts, and data annotation teams to define, build, evaluate, and continuously improve NLP models and language-based automation systems. Product Group Focus Areas ...
... data engineers, product managers, analysts, and data annotation teams to define, build, evaluate, and continuously improve NLP models and language-based automation systems. Product Group Focus Areas ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer to design and implement data infrastructure and ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer to design and implement data infrastructure and ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer who will design and implement data infrastructure and ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
They are seeking a Data Platform Engineer who will design and implement data infrastructure and ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...
... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...
Quick apply
... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...
Platform Engineer, Data
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
Platform Engineer, Data
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
Quick apply
Platform Engineer, Data
Austin, TX · On-site
$113K - $136K/yr
With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...
... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...
... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...
Data Labelers
Austin, TX · On-site
This role combines hands-on document annotation with structured validation of automated labeling ... Provide structured, actionable feedback to ML engineering teams. * Assess confidence scores and ...
Data Labelers
Austin, TX · On-site
This role combines hands-on document annotation with structured validation of automated labeling ... Provide structured, actionable feedback to ML engineering teams. * Assess confidence scores and ...
Applied Data Scientist, LLM Evaluation Introduction At Driver, we're building systems that turn ... developer tools, or technical documentation. * Experience building or managing annotation pipelines ...
Applied Data Scientist, LLM Evaluation Introduction At Driver, we're building systems that turn ... developer tools, or technical documentation. * Experience building or managing annotation pipelines ...
Applied Data Scientist, LLM Evaluation
Austin, TX · On-site +1
$175K - $275K/yr
Applied Data Scientist, LLM Evaluation Introduction At Driver, we're building systems that turn ... developer tools, or technical documentation. * Experience building or managing annotation pipelines ...
Applied Data Scientist, LLM Evaluation
Austin, TX · On-site +1
$175K - $275K/yr
Applied Data Scientist, LLM Evaluation Introduction At Driver, we're building systems that turn ... developer tools, or technical documentation. * Experience building or managing annotation pipelines ...
Data Annotation Engineer information
See Austin, TX salary details
$51K - $64.1K
2% of jobs
$64.1K - $77.3K
9% of jobs
$86.4K is the 25th percentile. Wages below this are outliers.
$77.3K - $90.4K
20% of jobs
$90.4K - $103.5K
4% of jobs
$103.5K - $116.6K
4% of jobs
$116.6K - $129.7K
1% of jobs
$129.7K - $142.8K
0% of jobs
$142.8K - $155.9K
0% of jobs
The median wage is $162.5K / yr.
$155.9K - $169K
18% of jobs
$169K - $182.1K
0% of jobs
$187.2K is the 75th percentile. Wages above this are outliers.
$182.1K - $195.2K
41% of jobs
$51K
$146.1K
$195.2K
How much do data annotation engineer jobs pay per year?
As of Jul 26, 2026, the average yearly pay for data annotation engineer in Austin, TX is $146,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $194,200.00 per year, depending on experience, location, and employer.
What are the main challenges faced by Data Annotation Engineers in their daily work?
One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?
To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.
Does data annotation really pay?
Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.
What is the highest salary for data annotator?
The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.
What is a data annotation engineer?
A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.
How hard is it to get hired by data annotation?
Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.
What is a Data Annotation Engineer job?
A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.
What are popular job titles related to Data Annotation Engineer jobs in Austin, TX? For Data Annotation Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Austin, TX look for? The top searched job categories for Data Annotation Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Annotation Engineer jobs? Cities near Austin, TX with the most Data Annotation Engineer job openings:
Arrive Logistics rating
4.3
Based on 8 frontline employees who took The Breakroom Quiz
Job description
Job Summary:
Arrive Logistics is a leading transportation and technology company in North America, committed to providing employees with a meaningful work experience. The Data Scientist II will work closely with Data Science, Product, and Engineering teams to build and improve ML and AI systems that drive operational value, focusing on text and language-based applications.
Responsibilities:
• Develop, evaluate, and iterate on NLP and LLM-based systems, including text classification, information extraction, and context retrieval pipelines.
• Build measurement and evaluation frameworks — both offline and online — to assess where and why systems are underperforming and quantify the impact of improvements.
• Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality.
• Evaluate and apply the appropriate approach for language tasks — whether prompt engineering, fine-tuning, or classical NLP methods — including modern retrieval and RAG architectures and LLM evaluation methodologies, based on the problem and available data.
• Perform structured analysis of system performance to surface failure modes, data gaps, and high-value areas for investment, applying sound statistical reasoning to evaluation results.
• Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in production.
• Contribute to standards and best practices around deploying, evaluating, and monitoring text and language-based ML systems.
• Document work clearly and maintain knowledge artifacts that make systems understandable and maintainable over time.
• Collaborate with senior data scientists and cross-functional partners to translate business needs into well-scoped technical solutions, including communicating findings and recommendations to non-technical stakeholders.
Qualifications:
Required:
• Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2–4 years of applied ML or data science experience, or equivalent practical experience.
• Hands-on experience building or improving NLP or LLM-based systems in applied settings.
• Familiarity with text classification, information extraction, or other NLP tasks — and an understanding of where these systems fail.
• Experience with both prompt engineering and fine-tuning approaches for language tasks, with the judgment to know when to apply each.
• Familiarity with modern retrieval strategies and RAG architectures and how they affect LLM system performance.
• Experience with Hugging Face Transformers for text classification or related NLP tasks.
• Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems, including comfort with statistical methods for measuring model performance.
• Proficiency in Python and SQL, and comfort working with structured and unstructured data.
• Ability to operate effectively in ambiguous problem spaces — scoping technical approaches when requirements are not fully defined.
• Strong written communication skills; able to document systems and findings clearly and present recommendations to non-technical stakeholders.
Preferred:
• Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus.
• Experience with model deployment, monitoring, or production ML workflows is a plus.
• Familiarity with LangChain and LangSmith or similar LLM orchestration and observability tooling is a plus.
• Transportation or logistics industry experience is a plus.
Company:
Arrive Logistics is a carrier and customer-centric logistics company that focuses on new standards for service in freight. Founded in 2014, the company is headquartered in Austin, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Arrive Logistics is a leading transportation and technology company in North America, committed to providing employees with a meaningful work experience. The Data Scientist II will work closely with Data Science, Product, and Engineering teams to build and improve ML and AI systems that drive operational value, focusing on text and language-based applications.
Responsibilities:
• Develop, evaluate, and iterate on NLP and LLM-based systems, including text classification, information extraction, and context retrieval pipelines.
• Build measurement and evaluation frameworks — both offline and online — to assess where and why systems are underperforming and quantify the impact of improvements.
• Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality.
• Evaluate and apply the appropriate approach for language tasks — whether prompt engineering, fine-tuning, or classical NLP methods — including modern retrieval and RAG architectures and LLM evaluation methodologies, based on the problem and available data.
• Perform structured analysis of system performance to surface failure modes, data gaps, and high-value areas for investment, applying sound statistical reasoning to evaluation results.
• Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in production.
• Contribute to standards and best practices around deploying, evaluating, and monitoring text and language-based ML systems.
• Document work clearly and maintain knowledge artifacts that make systems understandable and maintainable over time.
• Collaborate with senior data scientists and cross-functional partners to translate business needs into well-scoped technical solutions, including communicating findings and recommendations to non-technical stakeholders.
Qualifications:
Required:
• Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2–4 years of applied ML or data science experience, or equivalent practical experience.
• Hands-on experience building or improving NLP or LLM-based systems in applied settings.
• Familiarity with text classification, information extraction, or other NLP tasks — and an understanding of where these systems fail.
• Experience with both prompt engineering and fine-tuning approaches for language tasks, with the judgment to know when to apply each.
• Familiarity with modern retrieval strategies and RAG architectures and how they affect LLM system performance.
• Experience with Hugging Face Transformers for text classification or related NLP tasks.
• Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems, including comfort with statistical methods for measuring model performance.
• Proficiency in Python and SQL, and comfort working with structured and unstructured data.
• Ability to operate effectively in ambiguous problem spaces — scoping technical approaches when requirements are not fully defined.
• Strong written communication skills; able to document systems and findings clearly and present recommendations to non-technical stakeholders.
Preferred:
• Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus.
• Experience with model deployment, monitoring, or production ML workflows is a plus.
• Familiarity with LangChain and LangSmith or similar LLM orchestration and observability tooling is a plus.
• Transportation or logistics industry experience is a plus.
Company:
Arrive Logistics is a carrier and customer-centric logistics company that focuses on new standards for service in freight. Founded in 2014, the company is headquartered in Austin, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Arrive Logistics
Sourced by ZipRecruiter
Industry
Trucking
Company size
1,001 - 5,000 Employees
Headquarters location
Austin, TX, US
Year founded
2014