1

Day Data Annotation Jobs (NOW HIRING)

Data Engineer-AI/ML

Manhattan, NY · On-site

$126K - $151K/yr

Machine Translation Data Engineer Onsite 3 days per week in any of these locations: Seattle, NYC ... Experience at developing linguistic annotation projects (e.g. Machine Translation, ASR ...

... Perform data annotation required to train and evaluate ML models effectively • Support data ... Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) ...

next page

Showing results 1-20

Day Data Annotation information

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

To excel as a Day Data Annotation Specialist, you need strong attention to detail, data entry accuracy, and a solid understanding of the subject matter being annotated, often supported by a high school diploma or relevant experience. Familiarity with annotation tools, spreadsheets, and data management software is typically required. Excellent concentration, time management, and clear communication skills help professionals stand out in this role. These abilities are crucial to ensure high-quality, consistent data labeling that directly impacts the performance of machine learning models and downstream business applications.

What are some common challenges faced by Day Data Annotation specialists and how can they be addressed?

Day Data Annotation specialists often encounter challenges such as maintaining high accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To address these, it's important to develop strong attention to detail, use project guidelines as references, and communicate with team leads or peers when uncertainties arise. Many organizations also provide regular feedback and quality assurance checks, which help annotators improve their performance and consistency over time.

What are Day Data Annotation jobs?

Day Data Annotation jobs involve reviewing and tagging data, such as images, text, audio, or video, during regular daytime hours. Annotators help prepare datasets for machine learning and artificial intelligence by labeling or categorizing information according to specific guidelines. This work is essential for training algorithms to recognize patterns, objects, or language. Day Data Annotation can be done remotely or in-office, and it often requires attention to detail and good communication skills.

What is the difference between Day Data Annotation vs Data Labeler?

AspectDay Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, collaborative teamsRemote or on-site, independent work
Industry UsageAI/ML companies, tech firmsAI/ML, data processing companies
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Day Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI. Day Data Annotation often involves more detailed annotation tasks, while Data Labelers may perform broader labeling activities. Both roles require basic technical skills and are vital in AI development across tech industries.

More about Day Data Annotation jobs
What cities are hiring for Day Data Annotation jobs? Cities with the most Day Data Annotation job openings:
What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
What states have the most Day Data Annotation jobs? States with the most job openings for Day Data Annotation jobs include:
Infographic showing various Day Data Annotation job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 64% Full Time, 33% Part Time, and 1% Temporary. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Matterport - LeadBusiness Analyst, Data Operations

Matterport - LeadBusiness Analyst, Data Operations

CoStar

Sunnyvale, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


CoStar Group rating

8.8

Company rating: 8.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 153 rated real estate companies


Job description

Matterport - Lead Business 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 create truly unique and valuable offerings to our customers. We've continually 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 a Lead Data Annotation Business Analyst at 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 and have the opportunity to evolve 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 ensure timely, 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. Optimize Processes: Develop workflows, tools, and best practices for annotation at scale, leveraging automation 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 degree required from an accredited, not-for-profit, in-person college/university A track record of 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. Proficiency in 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'll experience 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 health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with 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 - $189,000 determined by relevant skills and experience, in addition to a generous benefits plan. #LI-VP1 #Matterport CoStar Group is an Equal Employment Opportunity Employer; we maintain a 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