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Data Annotation Jobs in Exton, PA (NOW HIRING)

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 ...

Solid knowledge of data collection, preprocessing, and annotation for prompt development. * Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.

Strong programming skills in SAS , with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and ...

Strong analytic and synthesis skills; able to move from theory → data → insight → application ... Familiarity with computational approaches (e.g., corpus methods, annotation, NLP literacy)

Strong analytic and synthesis skills; able to move from theory → data → insight → application ... Familiarity with computational approaches (e.g., corpus methods, annotation, NLP literacy)

Strong analytic and synthesis skills; able to move from theory data insight application * Clear ... Familiarity with computational approaches (e.g., corpus methods, annotation, NLP literacy)

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 ...

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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Data Annotation information

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What job categories do people searching Data Annotation jobs in Exton, PA look for? The top searched job categories for Data Annotation jobs in Exton, PA are:
What cities near Exton, PA are hiring for Data Annotation jobs? Cities near Exton, PA with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Exton, PA as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution.
URBN Senior Data Scientist

URBN Senior Data Scientist

URBN

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


URBN rating

6.7

Company rating: 6.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

32nd 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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