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Online Data Labelling Jobs (NOW HIRING)

Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

Our extensive collection features iconic global brands, emerging labels, and proprietary lines, all ... store and online. Position Summary We are seeking a Data Engineer to join our Information ...

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

... online marketplaces that match searchers and "research and compare" consumers with brands ... We run these virtual- and private-label marketplaces in one of the nation's largest media networks.

... online inference. - Proficient in Python with a track record of writing high-quality, well ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

... online inference. - Proficient in Python with a track record of writing high-quality, well ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

... online inference. - Proficient in Python with a track record of writing high-quality, well ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

... online inference. - Proficient in Python with a track record of writing high-quality, well ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

Our extensive collection features iconic global brands, emerging labels, and proprietary lines, all ... store and online. Position Summary We are seeking a Data Engineer to join our Information ...

... online inference. - Proficient in Python with a track record of writing high-quality, well ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

... online inference. - Proficient in Python with a track record of writing high-quality, well ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Showing results 41-60

Online Data Labelling information

See salary details

$46K

$165K

$243.5K

How much do online data labelling jobs pay per year?

As of Sep 13, 2026, the average yearly pay for online data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is online data labelling?

Online data labelling is the process of tagging or annotating data—such as images, text, or audio—using digital tools to make it understandable for machine learning algorithms. Data labelers review raw data and apply predefined labels to help train artificial intelligence systems, enabling them to recognize patterns and make predictions. This work is essential for improving the accuracy and performance of AI models in various applications, such as image recognition, natural language processing, and autonomous vehicles. Online data labelling jobs are often remote and require attention to detail, consistency, and sometimes domain-specific knowledge.

What are the key skills and qualifications needed to thrive as an online data labeller?

To excel as an Online Data Labeller, you need strong attention to detail, basic data handling skills, and familiarity with data annotation protocols, often requiring at least a high school diploma. Proficiency with data labelling platforms such as Labelbox, Supervisely, or Scale AI, and sometimes knowledge of spreadsheet tools, is typically necessary. Reliability, consistency, and the ability to follow detailed guidelines make individuals stand out in this role. These skills ensure high-quality, accurately labelled datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by online data labellers, and how can they be managed effectively?

Online data labelers often encounter challenges such as repetitive tasks, strict accuracy requirements, and tight deadlines. Maintaining high attention to detail is crucial, as even small errors can impact the quality of machine learning models. To manage these challenges, it's helpful to take regular breaks, use productivity tools, and communicate any ambiguities or unclear instructions with supervisors or team leads. Many organizations also offer support channels and quality assurance feedback to help labelers continuously improve their work.

What is the difference between Online Data Labelling vs Data Annotation?

AspectOnline Data LabellingData Annotation
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexibleRemote or in-office, depending on project
Industry UsageCommon in AI/ML data preparationUsed across AI, computer vision, NLP projects
Search IntentOnline Data Labelling vs Data Annotation

Online Data Labelling and Data Annotation are closely related roles in AI data preparation. While both involve labeling data for machine learning, Online Data Labelling often emphasizes quick, online tasks, whereas Data Annotation may include more detailed, specialized labeling. Both roles are essential in training AI models and share similar skills and work environments.

More about Online Data Labelling jobs

What cities are hiring for Online Data Labelling jobs?

Cities with the most Online Data Labelling job openings:

What are the most commonly searched types of Data Labelling jobs?

The most popular types of Data Labelling jobs are:

What states have the most Online Data Labelling jobs?

States with the most job openings for Online Data Labelling jobs include:

What other helpful pages are available for Online Data Labelling?

Other pages related to Online Data Labelling:

Infographic showing various Online Data Labelling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer

Irvine, CA • On-site

Tilly's Inc.
Retail • 1 - 5K employees

$122K - $147K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Tillys rating

5.5

Company rating: 5.5 out of 10

Based on 105 frontline employees who took The Breakroom Quiz


Job description

Location: Irvine, CA (On-site)
Department: Information Technology | Reports To: Lead Software Architect
Schedule: Full-Time | Minimum 4 Days In-Office
FLSA Status: Exempt

Who We Are

At Tillys, we’re a leading specialty retailer offering casual apparel, footwear, and accessories for young men, women, boys, and girls. Our extensive collection features iconic global brands, emerging labels, and proprietary lines, all rooted in an active and social lifestyle.

Based in sunny Southern California, our Retail Support Center (RSC) is the heart of our corporate operations, dedicated to supporting both our retail and online stores. The RSC is where strategy meets execution. From trend forecasting to tech innovation, our teams work together to bring the Tillys experience to life - both in-store and online.

Position Summary

We are seeking a Data Engineer to join our Information Technology team. Reporting to the Lead Software Architect, the Data Engineer will be responsible for designing, developing, and maintaining reliable and scalable data solutions that support business applications, reporting, analytics, and operational needs across the organization.

This position will work closely with the Lead Software Architect, software developers, business stakeholders, and other technical teams to develop data pipelines, integrations, and data structures that enable accurate and efficient movement of data across systems. The Data Engineer will also help improve data quality, performance, reliability, and accessibility while supporting the organization’s evolving data and technology architecture.

Key Responsibilities

A typical day may include:

  • 1. Design, develop, test, deploy, and maintain scalable data pipelines and data integration solutions.
  • 2. Build and maintain ETL/ELT processes to collect, transform, and integrate data from multiple internal and external sources.
  • 3. Partner with the Lead Software Architect to ensure data solutions align with established architecture, development standards, and the organization’s overall technology strategy.
  • 4. Collaborate with software developers, analysts, project managers, and business stakeholders to understand data requirements and translate business needs into effective technical solutions.
  • 5. Design and maintain data models and structures that support operational applications, reporting, analytics, and business intelligence.
  • 6. Develop and maintain integrations between enterprise applications, databases, APIs, third-party platforms, and other data sources.
  • 7. Monitor data pipelines and integrations to identify and resolve performance, reliability, and data quality issues.
  • 8. Troubleshoot complex data and integration issues and implement sustainable solutions.
  • 9. Develop automated processes for data validation, reconciliation, monitoring, and error handling.
  • 10. Ensure the accuracy, consistency, completeness, and integrity of data throughout data pipelines and integrations.
  • 11. Optimize database queries, data transformations, and pipeline performance to improve scalability and efficiency.
  • 12. Assist with the modernization of existing data processes, integrations, and platforms.
  • 13. Participate in the design and implementation of cloud-based and modern data architecture solutions.
  • 14. Support software development teams with database design, data access patterns, integrations, and application data requirements.
  • 15. Develop and maintain technical documentation, including data flows, data mappings, integration specifications, and system architecture documentation.
  • 16. Follow software development lifecycle (SDLC), source control, testing, deployment, and CI/CD best practices.
  • 17. Implement appropriate security and access controls to protect confidential and sensitive business data.
  • 18. Research and evaluate emerging data technologies, tools, and development practices and make recommendations to the Lead Software Architect.
  • 19. Develop proofs-of-concept and prototypes when evaluating new technologies or approaches.
  • 20. Identify opportunities to improve data processing, automation, scalability, reliability, and reusability across the technology environment.
  • 21. Participate in code reviews, technical design reviews, sprint planning, and other Agile development activities.
  • 22. Provide technical support and guidance related to data integrations, databases, and data engineering solutions.
  • 23. Maintain awareness of emerging technologies and industry best practices related to data engineering, cloud platforms, data architecture, and application integration.
Qualifications

Your experience brings:

  • 24. Strong understanding of data engineering concepts, relational databases, data modeling, and data integration principles.
  • 25. Proficiency with SQL and experience developing complex queries, stored procedures, and database solutions.
  • 27. Experience developing and maintaining ETL/ELT pipelines and data integration workflows.
  • 28. Understanding of cloud technologies and modern data architecture and experience working with relational and/or cloud-based databases and data platforms, including but not limited to Oracle Cloud. Experience with other cloud technologies like Snowflake, AWS, GCP, Redshift is a plus.
  • 29. Experience working with Business Intelligence platforms like Tableau, Strategy (MicroStrategy), PowerBI
  • 30. Understanding of APIs, web services, and system integration concepts.
  • 31. Knowledge of data modeling techniques and database design principles.
  • 32. Experience with at least one programming or scripting language commonly used for data engineering, such as Python, Java, C#, SSIS, or similar.
  • 33. Knowledge of data quality, governance, security, and privacy best-practices, including but not limited to handling customer and employee PII.
  • 34. Familiarity with Git source control, CI/CD, automated testing, and modern software development practices.
  • 35. Strong analytical, troubleshooting, and problem-solving skills.
  • 36. Ability to analyze business requirements and translate them into effective technical solutions.
  • 37. Excellent verbal and written communication skills with the ability to communicate technical concepts to both technical and non-technical audiences.
  • 38. Strong organizational skills and attention to detail.
  • 39. Ability to manage multiple priorities and work effectively in a fast-paced environment.
  • 40. Ability to work independently while collaborating effectively across technical and business teams.
Education & Experience
  • 41. Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Data Science, or a related technical field required.
  • 42. At least 3-5 years of related experience in data engineering, software development, database development, data integration, or a related technical discipline.
  • 43. Experience developing and maintaining production data pipelines and system integrations preferred.
  • 44. Experience with cloud-based data platforms and technologies preferred.
  • 45. Experience supporting enterprise applications and complex system environments preferred.
  • 46. Retail, eCommerce, merchandising, inventory, supply chain, or other high-volume transactional data experience is a plus.
Work Environment & Physical Demands
  • Professional office setting with low to moderate noise
  • Ability to sit or stand for extended periods
  • Occasionally lift/move up to 20 lbs and navigate stairs
  • Frequent walking and movement between floors/departments
  • Reasonable accommodation is available to support individuals with disabilities
Leadership & Team Development

While this is not a leadership role, we value team players who embody proactive collaboration, curiosity, accountability, and a growth mindset. Opportunities to grow and develop within the company are strongly supported.

Compensation

Annual Range: $100k - $120k/yr

Final offer will be based on experience, skills, and qualifications.

What to Expect

Schedule: Full-time role with weekday office hours; occasional evening or weekend work may be required during peak retail seasons.
Work Location: Irvine, CA - minimum of 4 days per week in-office.

Why Join Tillys?

At Tillys, we thrive in a creative, collaborative, and high-energy environment where individuality is not just accepted - it's celebrated. Whether you're brainstorming bold new campaigns or fine-tuning behind-the-scenes processes, your work makes a real impact. We foster a culture of inclusion, innovation, and recognition, where professional growth is supported, wins are celebrated, and having fun is part of the process. Join a team that values authenticity, teamwork, and always strives for excellence.

  • 401(k) Retirement Plan - Save for your future with our company-sponsored plan
  • Health Coverage - Medical, dental, vision, life, and additional voluntary benefits
  • Employee Discount - In-store and online
  • Discount Programs - Save on travel, events, and more
  • Employee Sample Sales - Major deals on favorite brands
  • Wellness & Social Events - Fitness programs, parties, and team outings
  • Weekly Office Snacks - Stay fueled with stocked treats
Equal Opportunity Employer & Fair Chance Hiring

Tillys is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Fair Chance Hiring:
In compliance with California law, Tillys will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act.

Other Considerations

This job description is not intended to be all-inclusive. Duties and responsibilities may change at any time, with or without notice. Reasonable accommodation may be provided to individuals with disabilities to enable them to perform essential job functions.

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About Tillys

Sourced by ZipRecruiter

Tillys is a leading specialty retailer of casual apparel, footwear and accessories for young men, young women, boys and girls with an extensive assortment of iconic global, emerging, and proprietary brands rooted in an active and social lifestyle. Tillys is headquartered in Irvine, California and currently operates 250 total stores across 33 states.

Industry

Retail

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1984

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