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Data Annotation Manager Jobs in Philadelphia, PA

Agilent

Head of Data Engineering, AI CoE

Wilmington, DE · On-site

$171K - $321K/yr

... annotation at enterprise scale. Responsible for * Certified, versioned data products and semantic ... Solid-line management of AI Data Engineers deployed into pods. * Leads a team responsible for ...

Agilent

Head of Data Engineering, AI CoE

Wilmington, DE · On-site

$171K - $321K/yr

... annotation at enterprise scale. Responsible for * Certified, versioned data products and semantic ... Solid-line management of AI Data Engineers deployed into pods. * Leads a team responsible for ...

YO AI Labs

Medical Coder - Remote

Philadelphia, PA · Remote

$50 - $80/hr

Apply Evaluation & Management (E&M) guidelines to assess coding levels and validate healthcare ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

New

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Strong documentation skills, including code annotation, traceability, and reproducibility ... manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis ...

Synchrony Group

Group Copy Supervisor

West Chester, PA · On-site +1

Partner with internal teams to turn complex data into engaging and meaningful copy for a variety of ... Ensure high quality and degree of accuracy with thorough referencing and annotation of all ...

Gap International

Linguist

Philadelphia, PA

ABOUT THE ROLE Global management consulting firm Gap International , based in the Philadelphia area ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

Gap International

Linguist

Springfield, PA · On-site

ABOUT THE ROLE Global management consulting firm Gap International , based in the Philadelphia area ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

Gap International

Linguist

Springfield, PA

ABOUT THE ROLE Global management consulting firm Gap International , based in the Philadelphia area ... Strong analytic and synthesis skills; able to move from theory data insight application * Clear ...

Synchrony Group

Senior Copywriter

West Chester, PA · On-site

Partner with internal teams to turn complex data into engaging and meaningful copy for a variety of ... Ensure high quality and degree of accuracy with thorough referencing and annotation of all ...

Synchrony Group

Senior Copywriter

West Chester, PA · On-site +1

Partner with internal teams to turn complex data into engaging and meaningful copy for a variety of ... Ensure high quality and degree of accuracy with thorough referencing and annotation of all ...

Synchrony Group

Senior Copywriter

West Chester, PA

Partner with internal teams to turn complex data into engaging and meaningful copy for a variety of ... Ensure high quality and degree of accuracy with thorough referencing and annotation of all ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Philadelphia, PA

Data Annotation Manager information

See Philadelphia, PA salary details

$31.3K

$98K

$173.6K

How much do data annotation manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data annotation manager in Philadelphia, PA is $98,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Philadelphia, PA? The most popular types of Data Annotation jobs in Philadelphia, PA are:
What are popular job titles related to Data Annotation Manager jobs in Philadelphia, PA? For Data Annotation Manager jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Philadelphia, PA look for? The top searched job categories for Data Annotation Manager jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Data Annotation Manager jobs? Cities near Philadelphia, PA with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Philadelphia, PA as of August 2026, with employment types broken down into 68% Full Time, 10% Part Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $98,027 per year, or $47.1 per hour.

Head of Data Engineering, AI CoE

Agilent

Wilmington, DE • On-site

$171K - $321K/yr

Full-time

Posted 16 days ago

Agilent Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers

Job description

Job Description
Owns the Fabric data plane: the certified data and semantics every agent and BI use case depends on. The Agilent Intelligence Fabric is a single governed substrate serving both BI and agentic AI; one substrate, two consumption modes. This role makes the data side of that promise real, meaning every certified data product carries a semantic definition, a data contract, policy and entitlement metadata including agent identity, lineage and observability, and a certification tier.
The role operates on a core conviction of the program: AI is the primary builder of the Fabric, not merely its consumer. This leader deploys agents that generate metadata, resolve entities across domains, score quality, and classify unstructured content, so the data plane compounds in richness with every interaction rather than depending on manual annotation at enterprise scale.
Responsible for
  • Certified, versioned data products and semantic models, built in partnership with domain owners and stewards, with certification tiers that agents and BI consumers can both trust.
  • The Asset Registry, lineage, and data-quality signals; the registry is the discoverable, versioned home for data products and semantic definitions.
  • Lakehouse, vector, and graph retrieval foundations underpinning grounded agent behavior.
  • Agentic workloads that build the Fabric itself: metadata generation, entity resolution, quality scoring, and unstructured content classification.
  • Solid-line management of AI Data Engineers deployed into pods.
  • Leads a team responsible for designing, developing, and implementing modular data models, data pipelines, and data management frameworks that enable the capture, integration, storage, and utilization of structured and unstructured data from multiple sources.
  • Applies in-depth understanding of business and technical requirements to define data engineering priorities, direct the development of scalable data solutions, and establish standards and processes that ensure data reliability, efficiency, quality, compatibility, and accessibility.
  • Provides technical and organizational leadership in the development of data platforms and tools that support analytics, data science, predictive and prescriptive modeling, and automation initiatives, while overseeing project execution, cross-functional collaboration, talent development, and continuous improvement of data engineering capabilities to meet evolving business and product requirements.

Qualifications
  • Bachelor's or Master's Degree or equivalent. Plus, broad knowledge of functional area(s) of responsibility.
  • Minimum of 10 years' experience formally or informally leading people, projects and/or programs.
  • A track record building enterprise data platforms that serve production AI systems, not only analytics; experience with semantic layers, ontologies, or knowledge representation at scale.
  • Deep familiarity with the modern lakehouse, vector, and graph landscape; experience with Microsoft Fabric, Snowflake, or equivalent platforms in a multi-cloud estate.
  • Experience operating data contracts, lineage, and certification models in a regulated or quality-driven industry; life sciences or GxP exposure is a strong plus.
  • Curiosity about AI, its potential and its pitfalls. The field moves monthly, and the people who thrive here are genuinely curious about both sides of it: what these systems can newly do, and where they fail, mislead, or quietly degrade. We want people who read the failure analyses as eagerly as the launch posts, who experiment on their own initiative, and who hold excitement and skepticism at the same time without letting either one win permanently.
  • Lifelong learners. Whatever expertise a candidate arrives with will be partially obsolete within a year, and that is not a defect of the candidate; it is the condition of the field. We hire people who have reinvented their toolkit before and expect to do it again, who learn in public, and who treat being wrong as information rather than injury. A history of deliberate self-reinvention counts for more than any single credential.
  • Excellent communication and the ability to influence. Nothing in this organization ships by authority alone. Every role here persuades domain experts to engage, stewards to share what they know, sponsors to stay honest about value, and functions like Legal, Quality, and Security to move from gatekeeping to partnership. We look for people who write and speak clearly, who adapt their register from bench scientist to Board, and who change minds through credibility and clarity rather than escalation.
  • The instinct to automate curation with AI rather than scale it with headcount.

Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least August 3, 2026 or until the job is no longer posted.
The full-time equivalent pay range for this position is $171,600.00 - $321,750.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations
Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.
Travel Required:
10% of the Time
Shift:
Day
Duration:
No End Date
Job Function:
Administration

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