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Senior Data Annotation Analyst Jobs in Texas (NOW HIRING)

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... annotation guidelines and ensuring label quality. * Evaluate and apply the appropriate approach for ... Perform structured analysis of system performance to surface failure modes, data gaps, and high ...

Amatriot Group, LLC

Senior Data Analyst

Dallas, TX · Hybrid

$125K - $165K/yr

... Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The ...

Service Experts

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics experience and a Master's degree in Analytics, Data Science, Statistics, or a related quantitative field to ...

Service Experts

Sr. Data Analyst

Richardson, TX

$78K - $98K/yr

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics experience and a Master's degree in Analytics, Data Science, Statistics, or a related quantitative field to ...

LJA Engineering

Sr. Data Analyst

Katy, TX

$74K - $93K/yr

As a Sr. Data Analyst at LJA in our Finance department, you will be responsible for transforming data into actionable insights. The role does this through analysis of existing data and identifying ...

LJA Engineering

Sr. Data Analyst

Katy, TX · On-site

$74K - $93K/yr

As a Sr. Data Analyst at LJA in our Finance department, you will be responsible for transforming data into actionable insights. The role does this through analysis of existing data and identifying ...

NCD Agency LLC

Senior Data Analyst

Dallas, TX · On-site

$85K - $107K/yr

Summary NCD is seeking a Sr. Data Analyst to join our Data team as a strong mid-level individual contributor. This role is built for someone who can own ambiguous business problems, partner directly ...

Orion180

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

JOIN OUR TEAM AS A SENIOR DATA ANALYST!! We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the business after the real decisions get made. It's the foundation ...

Crash Champions

Sr Data Analyst

Richardson, TX

$90K - $120K/yr

We are seeking a Senior Business Intelligence Analyst for the Data Analytics team. This role supports business intelligence across the organization by designing, implementing, and maintaining Power ...

PACCAR

Senior Data Analyst

Denton, TX · On-site

$80K - $101K/yr

This role reports to the Data Analytics Manager, AfterSales. Job Responsibilities * Extract, clean ... senior executives. * Integrate AfterSales data from multiple sources to produce a single ...

Crash Champions

Sr Data Analyst

Richardson, TX · On-site +1

$90K - $120K/yr

We are seeking a Senior Business Intelligence Analyst for the Data Analytics team. This role supports business intelligence across the organization by designing, implementing, and maintaining Power ...

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Senior Data Annotation Analyst information

Is it difficult to get a job at data annotation?

Securing a position as a Senior Data Annotation Analyst typically requires attention to detail, familiarity with annotation tools, and basic understanding of data labeling processes. While some roles may require prior experience or specific skills, entry-level positions are often accessible with relevant training or certifications. The difficulty varies depending on the company's requirements and the competitiveness of the job market.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are considered modest compared to other tech roles, with pay often ranging from minimum wage to around $15-$20 per hour depending on experience and location. While some companies offer bonuses or flexible schedules, overall compensation for entry-level data annotation positions is generally lower than more specialized data science or engineering roles.

What are Senior Data Annotation Analysts?

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 does a data annotation analyst do?

A data annotation analyst labels and categorizes data such as images, text, or videos to help train machine learning models. They use tools and guidelines to ensure data is accurately annotated, which is essential for developing reliable AI systems. Attention to detail and understanding of data formats are important in this role.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Analyst, and why are they important?

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.

What is the highest salary for data annotator?

The highest salary for a senior data annotation analyst can reach around $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or certifications may offer higher compensation, especially in competitive tech markets.
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Senior Data Annotation Analyst jobs near you
Data Scientist II

Data Scientist II

Arrive Logistics

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Arrive Logistics rating

4.3

Company rating: 4.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Who We Are
Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we're building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.
Who We Want
The Data Scientist II will work closely with Data Science, Product, and Engineering to build and improve ML and AI systems that drive operational value. This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based systems who is ready to take on meaningful technical ownership. You'll contribute to the full lifecycle of production ML systems - from evaluation and measurement through development, deployment, and iteration - with a particular focus on text and language-based applications. The ideal candidate is comfortable operating in ambiguous problem spaces, can translate loosely defined business needs into concrete technical approaches, and communicates findings clearly to both technical and non-technical audiences.
What You'll Do
  • 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
  • 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.
  • 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.

The Perks of Working With Us
  • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.
  • Invest in your future with our matching 401(k) program.
  • Build relationships and find your home at Arrive through our Employee Resource Groups.
  • Enjoy office wide engagement activities, team events, happy hours and more!
  • Leave the suit and tie at home; our dress code is casual.
  • Work in the booming city of Austin, TX - we are in a convenient location close to the airport and downtown.
  • Park your car for free on site!
  • Start your morning with a specialty drink from our fully stocked coffee bar, Broker's Brew.
  • Sweat it out with the team at our onsite gym.
  • Maximize your wellness with free counseling sessions through our Employee Assistance Program
  • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
  • Receive 100% paid parental leave when you become a new parent.
  • Get paid to work with your friends through our Referral Program!
  • Get relocation assistance! If you are not local to the area, we offer relocation packages.

Your Arrive Experience
When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.

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