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Data Tagging Jobs in New York (NOW HIRING)

Willis Re

Data Engineering Lead

New York, NY · On-site

Tagging & Cataloguing: Establish and maintain data tagging, classification and cataloguing, so that data across the platform is discoverable, well described and correctly labelled for sensitivity and ...

Willis Re Inc

Data Engineering Lead

Manhattan, NY · On-site

$160 - $180/hr

Tagging & Cataloguing: Establish and maintain data tagging, classification and cataloguing, so that data across the platform is discoverable, well described and correctly labelled for sensitivity and ...

Willis Re Bermuda

Data Engineering Lead

Manhattan, NY · On-site

$160 - $200/hr

Tagging & Cataloguing:** Establish and maintain data tagging, classification and cataloguing, so that data across the platform is discoverable, well described and correctly labelled for sensitivity ...

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$150K - $190K/yr

Experience building and managing overseas or outsourced teams for data tagging, annotation, and QA, with a track record of maintaining quality and throughput across time zones. * Deep ownership of ...

Riskified

Data Integrations Engineer

New York, NY · On-site

$125K - $139K/yr

Maintain/manage merchant data configuration layer of Riskified's platform (automated data tagging, transformation, filtering, etc.) * Combine technical, business, and analytical objectives to come up ...

Riskified

Data Integrations Engineer

New York, NY · On-site +1

$125K - $139K/yr

Maintain/manage merchant data configuration layer of Riskified's platform (automated data tagging, transformation, filtering, etc.) * Combine technical, business, and analytical objectives to come up ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A English with Dialect from (Australian, United Kingdom and Canadian) speaker ...

Chloe

HCP Global Omnichannel Lead

Morristown, NJ · Hybrid

$150K - $220K/yr

Collaborate with Digital, Data, and Tech teams to implement CRM, consent, tagging, and tracking infrastructure. * Support Zones in orchestrating personalized HCP journeys across owned, earned, and ...

McDermott

EDGAR Filing Specialist

Manhattan, NY · On-site

$91 - $115/hr

Ensures accurate data tagging, validation, and formatting using EDGAR filing software and tools like Arelle for XBRL validation.* Manages and coordinates the filing process, ensuring all SEC ...

Upway

Growth Marketing Manager - USA

Manhattan, NY · On-site

$110 - $130/hr

Data tagging & event layers * Cookie and consent optimization * Conversion tracking accuracy SEO * Own SEO growth initiatives in collaboration with content and tech. * Growth testing & implementation.

Omnicom

Manager, Client Operations

New York, NY · On-site

... data tagging and classification in MT & MO systems (based business/reporting needs and rules) Leverage understanding of E2E process (and excel) to communicate and translate our automation needs to ...

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Data Tagging information

See New York salary details

$60.2K

$108.6K

$148.2K

How much do data tagging jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data tagging in New York is $108,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $118,700.00 per year, depending on experience, location, and employer.

What is data tagging?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

What does a data tagger do?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.

What skills and qualifications are needed for data tagging?

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What are popular job titles related to Data Tagging jobs in New York?

For Data Tagging jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Tagging jobs in New York look for?

The top searched job categories for Data Tagging jobs in New York are:

Data Tagging jobs near you
Infographic showing various Data Tagging job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,562 per year, or $52.2 per hour.

Data Engineering Lead

Willis Re

New York, NY • On-site

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. Our Snowflake data lake platform sits at the centre of that estate, and we are looking for a Data Engineering Lead to drive its implementation.
This is a deeply hands-on role. You will spend most of your time building on Snowflake and establishing how data is tagged, catalogued, governed and quality-assured across the business, working alongside our architects and directing strategic delivery partners who build with you.
Key Responsibilities:
  • Snowflake Development: Spend the majority of your time hands-on in Snowflake, architecting and building the platform and its surrounding ecosystem, including ingestion, transformation, data models, curated data products, and warehouse, performance and cost design for high-volume reinsurance placement, exposure, claims and market data.
  • Tagging & Cataloguing: Establish and maintain data tagging, classification and cataloguing, so that data across the platform is discoverable, well described and correctly labelled for sensitivity and business meaning.
  • Data Governance: Own governance for the platform, covering ownership and stewardship, lineage, access policies, retention obligations and cross-border data residency, working with security, risk and the business.
  • Data Quality: Define and implement data quality controls, automated testing, monitoring and reconciliation, and make quality visible and measurable to data consumers.
  • Scale & Archival: Design the platform to handle growing data volumes predictably, defining partitioning and clustering, storage tiering, retention and archival strategy, and keeping performance and cost under control as the estate grows.
  • Architecture Contribution: Contribute to the data architecture, working with the Solution Architect and Head of Architecture & Engineering to shape target-state designs and feed real-world constraints back into them.
  • Vendor Leadership: Direct and quality-assure the work of strategic delivery partners, reviewing their designs and code and holding them to the agreed standards.
  • Engineering Standards: Set how the team builds, covering CI/CD for data, automated testing, observability and infrastructure-as-code.
  • Grow the Team: Mentor engineers, raise the technical bar, and help shape how the data engineering function scales.

About You
You are a hands-on data engineering leader who is comfortable owning delivery in a fast-moving, greenfield environment with a lean core team and strategic delivery partners. Ideally you will bring:
  • Experience: 10 + years in data engineering, including experience leading the delivery of a significant data platform end to end.
  • Snowflake Depth: Deep, current, hands-on Snowflake expertise, having both built and architected across the platform and its surrounding ecosystem. This includes warehouse sizing, performance and cost optimisation, RBAC and access design, object tagging and masking policies, ingestion (Snowpipe, Streams and Tasks), sharing and marketplace, AI and ML capabilities such as Cortex, and transformation and orchestration tooling such as dbt.
  • Governance & Cataloguing: A strong track record establishing data governance in practice, covering tagging and classification, data catalogues, lineage, stewardship and access policies.
  • Data Quality: Practical experience implementing data quality frameworks, automated testing and monitoring, and driving measurable improvement.
  • Data Modelling: Deep expertise in data modelling and warehouse design, with sound judgement on schema design, performance and cost at high volume.
  • Scale & Archival: Proven experience running data platforms at high volume, including partitioning and clustering strategies, storage tiering, and defining retention and archival approaches that satisfy long-term regulatory obligations without runaway cost.
  • Technical Stack: Strong SQL and Python, with practical experience of pipeline orchestration, ELT tooling, CI/CD (Azure DevOps or GitHub Actions) and infrastructure-as-code (Terraform/Bicep) on Azure.
  • Architecture & Compliance: Enough architectural depth to shape platform design and challenge it constructively, and experience building to security and compliance requirements in regulated financial services.
  • Vendor Delivery: Experience leading or quality-assuring work delivered by vendors and partners, including the ability to challenge designs constructively and enforce standards without direct authority.
  • AI Foundations: Hands-on experience with Snowflake Cortex AI, or building AI and analytics use cases on data you have modelled yourself, is a significant advantage. Familiarity with AI-assisted engineering tools such as Claude Code or Claude Cowork is a plus.
  • Leadership & Communication: Ability to lead engineers, influence stakeholders and explain technical trade-offs clearly to both technical and business audiences.

Compensation
Range: $160,000 - $180,000 - $200,000
Bonus: 20%
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
About Willis Re
We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.
At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.
The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.
Willis Re will also leverage recognized technical expertise from WTW's Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW's Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.
Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at talentacquisition@willisre.com

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