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Data Annotation Jobs in Burlington, NJ (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 ...

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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 ...

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.

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Data Annotation information

What does a data annotation do?

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.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

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.

What are the key skills and qualifications needed to thrive in data annotation?

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 job categories do people searching Data Annotation jobs in Burlington, NJ look for? The top searched job categories for Data Annotation jobs in Burlington, NJ are:
What cities near Burlington, NJ are hiring for Data Annotation jobs? Cities near Burlington, NJ with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Burlington, NJ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

URBN Data Scientist

URBN

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


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 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 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
  • 1+ 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.

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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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