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Data Annotation Analyst Jobs (NOW HIRING)

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

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Hands-on experience with 2D and 3D annotation tools and platforms * Strong understanding of data management principles and basic data analysis concepts * Demonstrated ability to follow detailed ...

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

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Data Annotation Analyst information

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$34K

$82.6K

$136K

How much do data annotation analyst jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What qualifications do I need for data annotation?

Data annotation analysts typically need a high school diploma or equivalent, with strong attention to detail and basic computer skills. Familiarity with annotation tools and understanding of data labeling standards are important, and some roles may require knowledge of specific domains like images, text, or audio. Additional skills such as patience and the ability to follow detailed instructions are also beneficial.

Is it difficult to get a job at data annotation?

Securing a data annotation analyst position generally requires attention to detail, basic understanding of data labeling tools, and sometimes prior experience or training. Entry-level roles are often accessible with minimal experience, but more advanced positions may demand specific skills or knowledge of machine learning concepts.

Does data annotation really pay you?

Data annotation analysts are typically paid for their work, with pay rates varying based on experience, project complexity, and platform. Many roles offer hourly wages or per-task payments, and some companies provide consistent pay schedules for remote or freelance annotation tasks.

What does a typical day look like for a Data Annotation Analyst?

As a Data Annotation Analyst, your day usually involves reviewing various data types (like images, text, or audio) and applying precise labels or tags according to specific project guidelines. You may participate in regular team meetings to clarify instructions, resolve ambiguities, and update productivity targets. Routine feedback sessions with quality assurance teams are common to ensure consistency and accuracy in the annotated data. Collaboration with data scientists or machine learning engineers might also occur to improve annotation processes or address edge cases. The work environment is typically structured, with deadlines and accuracy benchmarks guiding daily activities.

What is a data annotation analyst?

A data annotation analyst is a professional who labels and categorizes data, such as images, text, or videos, to help train machine learning models. They use tools and follow guidelines to ensure data quality and accuracy, often working with large datasets in a structured environment.

What are the key skills and qualifications needed to thrive in the Data Annotation Analyst position, and why are they important?

To excel as a Data Annotation Analyst, you need strong attention to detail, analytical abilities, and familiarity with data labeling processes, often supported by a relevant degree or experience in data handling. Proficiency with specialized annotation tools (such as Labelbox or CVAT), spreadsheet software, and sometimes scripting languages is highly valued. Excellent communication skills, adaptability, and the ability to work independently or collaboratively are crucial soft skills in this role. These skills ensure accurate, high-quality data annotations that are essential for training reliable machine learning models.

What is a Data Annotation Analyst job?

A Data Annotation Analyst is responsible for labeling, tagging, and categorizing data to help train and improve machine learning models. They work with text, images, audio, or video, ensuring that datasets are accurate and high-quality. This role requires attention to detail, consistency, and familiarity with annotation guidelines to enhance AI performance.

More about Data Annotation Analyst jobs
What cities are hiring for Data Annotation Analyst jobs? Cities with the most Data Annotation Analyst job openings:
What are the most commonly searched types of Data Annotation Analyst jobs? The most popular types of Data Annotation Analyst jobs are:
What states have the most Data Annotation Analyst jobs? States with the most job openings for Data Annotation Analyst jobs include:
Infographic showing various Data Annotation Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Matterport - LeadBusiness Analyst, Data Operations

Matterport - LeadBusiness Analyst, Data Operations

CoStar Group

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Matterport - LeadBusiness Analyst, Data Operations


Job Description


About CoStar Group

CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights, and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to createtruly uniqueand valuable offerings to our customers.We'vecontinually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry-for our customers and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

About Matterport

Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data, making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle-from planning, construction, and operations to documentation, appraisal, and marketing.

About the Role

As aLeadData AnnotationBusiness Analystat Matterport, a part of CoStar Group, you will be pivotal in building the foundation for our AI and computer vision models. This is a strategic role that goes far beyond traditional business analysis-you will manage the entire lifecycle of data annotation projects, ensuring that our models are trained on high-quality, well-structured datasets that reflect real-world complexity.

You will collaborate with product managers and ML engineers to define ontology requirements, design annotation workflows, and manage internal and external annotation teams. From sampling data and creating annotation guidelines to reviewing outputs and integrating results into production pipelines, you will be the driving force behind the quality and scalability of our training data.

This role offers significant development potential: you will influence Matterport's data strategy andhave the opportunity toevolve into a leadership position overseeing global data operations and annotation strategy.

This role is located in Sunnyvale, CA and is 4 days on-site and 1 day work from home.

What You Will Do

  • Own the Data Annotation Lifecycle: Manage all internal and third-party annotation projects, from requirements gathering to final data delivery.

  • Define Ontologies and Standards: Work with product and engineering teams to translate model requirements into clear, scalable annotation schemas.

  • Design and Launch Annotation Projects: Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes.

  • Vendor and Team Management: Coordinate with external providers and internal teams to ensuretimely,accurate, and cost-effective project execution.

  • Integrate and Validate Outputs: Collaborate with ML engineers to ingest annotated data, review results, and iterate for continuous improvement.

  • OptimizeProcesses: Develop workflows, tools, and best practices for annotation at scale,leveragingautomation where possible.

  • Drive Strategic Impact: Influence Matterport's data strategy and contribute to building world-class AI models for spatial computing.

Basic Qualifications

  • Bachelor's degreerequiredfrom an accredited, not-for-profit, in-person college/university

  • A track recordof commitment to prior employers.

  • 3+ years of experience in data operations, annotation management, or business analysis in a technical environment.

  • Strong understanding of data structures, ontologies, and annotation workflows.

  • Excellent organizational and project management skills with attention to detail.

  • Familiarity with ML concepts and data requirements for model training.

  • Experience working with external vendors and managing cross-functional teams.

  • Proficiencyin tools like Excel, SQL, and project management platforms.

Preferred Qualifications

  • Experience in computer vision or ML-driven products.

  • Knowledge of annotation tools and platforms (e.g.,Dataloop, Hasty, Scale.ai,Deeplake).

  • Familiarity with workflow orchestration and automation tools.

  • Strong analytical skills and ability to translate technical requirements into operational plans.

  • Demonstrated ability to scale processes and manage multiple projects simultaneously.

Perks & Benefits

When you join CoStar Group,you'llexperience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.

Our benefits package includes (but is not limited to):

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug

  • Life, legal, and supplementary insurance

  • Virtual and in-person mental healthcounselingservices for individuals and family

  • Commuter and parking benefits

  • 401(K) retirementplanwith matching contributions

  • Employee stock purchase plan

  • Paid time off

  • Tuition reimbursement

  • Access to CoStar Group's Culture Employee Resource Groups

  • Complimentary in-office gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

Pay Transparency

This position offers an annual OTE pay range from $149,000 - $189,000determinedby relevant skills and experience, in addition to a generous benefits plan.

#LI-VP1 #Matterport

CoStar Group is an Equal Employment Opportunity Employer; wemaintaina drug-free workplace and perform pre-employment substance abuse testing.


CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing