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Data Annotation Tech Jobs in Philadelphia, PA (NOW HIRING)

URBN Senior Data Scientist

Philadelphia, PA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI technology stack. * Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark ...

Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

New

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Statistical Analytical Programmer

PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic ... Transform raw real-world data sources-including EMR, EHR, claims, and registries-into accurate ...

Statistical Analytical Programmer

Blue Bell, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic ... Transform raw real-world data sources--including EMR, EHR, claims, and registries--into accurate ...

... healthcare, technology, telecommunications, and financial services. ABOUT THE ROLE Global ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

... healthcare, technology, telecommunications, and financial services. ABOUT THE ROLE Global ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

... healthcare, technology, telecommunications, and financial services. ABOUT THE ROLE Global ... Strong analytic and synthesis skills; able to move from theory data insight application * Clear ...

Showing results 21-33

Data Annotation Tech information

See Philadelphia, PA salary details

$12

$23

$35

How much do data annotation tech jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data annotation tech in Philadelphia, PA is $23.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $27.40 per hour, depending on experience, location, and employer.

How to become a data annotation tech?

To become a data annotation tech, you typically need a high school diploma or equivalent, strong attention to detail, and familiarity with data labeling tools or software. Some roles may require basic knowledge of machine learning concepts or specific platforms like Labelbox or CVAT. Gaining experience through online courses or tutorials can also improve job prospects.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

Does data annotation actually pay you?

Data annotation jobs typically pay hourly or per task, with rates varying depending on the platform and complexity of the work. Many companies and platforms offer remote opportunities that provide consistent payment once tasks are completed, often requiring basic skills in data labeling tools. Payment is generally reliable for those who meet quality standards and adhere to deadlines.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

How much do data annotation technicians make?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. Many roles are entry-level and may offer flexible schedules or remote work opportunities.

What are the most commonly searched types of Data Annotation Tech jobs in Philadelphia, PA?

The most popular types of Data Annotation Tech jobs in Philadelphia, PA are:

What are popular job titles related to Data Annotation Tech jobs in Philadelphia, PA?

For Data Annotation Tech jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech jobs in Philadelphia, PA look for?

The top searched job categories for Data Annotation Tech jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Annotation Tech jobs?

Cities near Philadelphia, PA with the most Data Annotation Tech job openings:

Infographic showing various Data Annotation Tech job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,944 per year, or $23.1 per hour.

URBN Senior Data Scientist

URBN

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


URBN rating

6.7

Company rating: 6.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

30th of 104 rated fashion retailers


Job description

Role Summary
URBN is seeking a Senior Data Scientist to develop AI-powered visual experiences, with a primary focus on image and video generation. This individual will lead algorithm development and Image/Video Generative AI initiatives, leveraging generative AI models, multimodal data sources, and modern creative AI workflows to drive innovation across our digital ecosystem. The role involves close collaboration with leadership, Product Management, Creative, and Engineering teams.
As Senior Data Scientist, you will play a pivotal role in building and orchestrating image and video generation pipelines that power AI-first innovations at URBN, from product imagery and creative content to virtual try-on and beyond. You will drive the development, implementation, and validation of generative visual AI solutions across a range of applications to support our product lifecycle.
This role blends deep technical fluency in generative models with a strong visual sensibility. The ideal candidate combines a solid machine learning foundation with hands-on experience in the rapidly evolving image and video generation landscape, including diffusion models, multimodal architectures, and GenAI workflow orchestration tools. You should be able to evaluate generated outputs not just quantitatively, but with a critical creative eye.
If you are passionate about the intersection of generative AI and visual storytelling, and you stay current with the fast-moving landscape of image and video models, we invite you to help shape the future of intelligent, AI-native creative experiences at URBN.
Role Responsibilities
  • Design, implement, and optimize image and video generation pipelines using state-of-the-art models to produce high-quality visual content at scale.
  • Build and maintain multi-model generative workflows using orchestration tools that chain together generation, inpainting, upscaling, style transfer, and conditioning steps into production-ready pipelines.
  • Fine-tune and adapt image generation models using techniques such as LoRA, DreamBooth, ControlNet, IP-Adapter, and textual inversion to achieve brand-consistent, style-controlled outputs.
  • Leverage multimodal and vision-language models for image understanding, visual analysis, automated tagging, and quality evaluation within generative workflows.
  • Evaluate, prototype, and integrate emerging video generation models into creative and product workflows.
  • Develop agentic AI pipelines that orchestrate multi-step visual content creation, from prompt generation and image synthesis to post-processing and delivery.
  • Collaborate with cross-functional teams including Creative, Product Management, and Engineering to translate brand and business needs into scalable generative AI solutions.
  • Lead the technical evaluation of new generative AI models, tools, and vendors as the landscape evolves, influencing decisions for URBN's visual AI technology stack.
  • Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation.
  • Analyze and benchmark model outputs for quality, consistency, and brand alignment, designing robust validation and feedback loops that combine quantitative metrics with qualitative human assessment.
  • Partner with engineers to translate research prototypes into production-grade services and APIs, with attention to cost optimization and throughput at scale.

Role Qualifications
Must-Have
  • 5+ years of industry experience in data science, machine learning, or AI engineering, with a strong foundation in ML fundamentals.
  • 1+ year of hands-on experience working with image generation models in a professional or serious applied context, not casual experimentation.
  • Strong proficiency in Python, with practical experience using ML frameworks such as PyTorch and Hugging Face multimodal models.
  • Hands-on experience with image model fine-tuning and conditioning techniques
  • Working knowledge of GenAI workflow orchestration tools for building multi-step generation pipelines.
  • Experience with multimodal and vision-language models for image understanding, captioning, or visual analysis.
  • Experience with cloud-based AI infrastructure for training, fine-tuning, and serving generative models.
  • Proven ability to evaluate and rapidly adopt new generative AI models and tools as the field evolves.
  • Strong visual sensibility, with an eye for image quality, composition, and brand consistency in generated outputs.
  • Excellent communication and collaboration skills, with the ability to bridge technical and creative teams.
  • Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics, or equivalent practical experience.

Nice-to-Have
  • Experience with video generation models and understanding of the evolving video GenAI landscape.
  • Hands-on experience with creative design tools such as Adobe Photoshop, Firefly, or Figma, especially AI-augmented creative features like generative fill and inpainting.
  • Experience building agentic AI workflows to orchestrate multi-model pipelines.
  • Familiarity with fashion, retail, or e-commerce applications of generative AI, such as virtual try-on, AI product photography, or on-model image generation.
  • Background in computer vision fundamentals like segmentation, detection, and embeddings that complement generative work.
  • Experience with prompt engineering at scale, developing systematic prompt libraries or structured prompting strategies for consistent visual output.

The Perks
URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits
EEO Statement
URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.

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