2

Night Shift Remote Data Annotation Jobs in Delaware

Adobe Target Lead Engineer

Wilmington, DE · On-site +1

$116K - $182K/yr

... develop data-driven strategies that improve customer engagement and conversion. If you're ... This is a hybrid role: 2 days remote, 3 days in the office Key Responsibilities: * Own the design ...

Shift alternates between 12:00pm-10:00pm and 2:00pm-12:00am Compensation & Benefits * Competitive ... Analyze patient data and formulate an individualize plan of care based on patient assessment and ...

Night Shift Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a night shift remote data annotation specialist?

To thrive as a Night Shift Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and the ability to work independently, often supported by a high school diploma or equivalent. Familiarity with data labeling tools, annotation software, and basic computer systems is typically required, and experience with platforms like Labelbox or CVAT is beneficial. Excellent time management, self-motivation, and reliable communication skills help you excel in a remote and asynchronous work environment. These skills are crucial to ensure high-quality, consistent data output that directly impacts the effectiveness of machine learning and AI projects.

What is the difference between Night Shift Remote Data Annotation vs Night Shift Remote Data Labeling?

AspectNight Shift Remote Data AnnotationNight Shift Remote Data Labeling
Primary TaskAdding detailed annotations to datasets, such as bounding boxes or polygonsAssigning labels or categories to data points, often simpler tags
Required SkillsAttention to detail, basic understanding of annotation toolsUnderstanding of categories, quick decision-making
Work EnvironmentRemote, night shift, often part-time or freelanceRemote, night shift, similar flexible hours
Industry UsageUsed in computer vision, autonomous vehicles, AI trainingUsed in machine learning, data categorization tasks

Both roles are remote, night shift positions in AI data processing. Data annotation involves detailed marking of data, while data labeling focuses on categorizing data points. The choice depends on the complexity of tasks and required skills, but both are essential in AI training pipelines.

What is a night shift remote data annotation?

A night shift remote data annotation job involves labeling or tagging data, such as images, text, or audio, to help train machine learning models. The work is performed from home or another remote location during nighttime hours, which can be ideal for those needing flexible schedules or working in different time zones. Data annotators use specific guidelines and tools to ensure accuracy and consistency. This job typically requires attention to detail, basic computer skills, and the ability to follow instructions closely.

What are some common challenges faced by night shift remote data annotation professionals, and how can they be managed?

Night shift remote data annotation professionals often encounter challenges such as maintaining focus during late hours, managing fatigue, and staying motivated while working independently. To address these issues, it's helpful to establish a consistent sleep schedule, create a well-lit and organized workspace, and take regular breaks to reduce eye strain and maintain productivity. Additionally, staying connected with team members through scheduled check-ins or chat platforms can help reduce feelings of isolation and foster collaboration, ensuring high-quality annotation work.
What are popular job titles related to Night Shift Remote Data Annotation jobs in Delaware? For Night Shift Remote Data Annotation jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Night Shift Remote Data Annotation jobs? Cities in Delaware with the most Night Shift Remote Data Annotation job openings:

Adobe Target Lead Engineer

Agilent

Wilmington, DE • On-site, Remote

$116K - $182K/yr

Full-time

Re-posted 14 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

Join Agilent's multifaceted eCommerce engineering team as a Lead Engineer specializing in Adobe Target. In this role, you'll drive digital optimization through experimentation and personalization, helping develop data-driven strategies that improve customer engagement and conversion. If you're passionate about crafting impactful digital experiences and thrive in a collaborative, agile environment, we'd love to hear from you.

This is a hybrid role: 2 days remote, 3 days in the office

Key Responsibilities:

  • Own the design and execution of A/B and multivariate tests using Adobe Target.

  • Develop personalized content experiences and audience segmentation strategies.

  • Integrate Adobe Target with Adobe Analytics, AEM, Launch (Tags), and other Martech tools.

  • Collaborate with multi-functional teams to define hypotheses and optimization goals.

  • Code and implement user experiences using HTML, CSS, and JavaScript.

  • Analyze test results and provide actionable insights based on performance metrics.

  • Ensure accurate tracking, tagging, and reporting across platforms.

  • Troubleshoot and resolve technical issues related to Adobe Target deployments.

  • Stay ahead of with Adobe Target capabilities and propose innovative use cases.

Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Human Computer Interaction (HCI), or related field.
  • Experience:
    • 8+ years of proven experience in software engineering or digital optimization.
    • 4+ years of hands-on experience with Adobe Target (VEC, Form-based, APIs).
    • Experience in B2B, B2C, or eCommerce environments, preferably within large enterprises.
  • Technical Skills:
    • Proficiency in JavaScript, Python, RESTful APIs, JSON, and XML.
    • Expertise in AT.js, Adobe Launch, Web SDK, and server-side Target implementations.
    • Familiarity with Adobe Experience Cloud integrations (Analytics, CJA, CDP).
    • Strong understanding of HTML DOM, browser scripting, and developer tools.
    • Experience with AI-powered coding tools (e.g., GitHub Copilot).
  • Other Skills:
    • Knowledge of data privacy regulations (GDPR, CCPA, DPDP).
    • Agile methodology experience and strong collaboration skills.
    • Ability to work independently and lead technical discussions.
  • Preferred Certifications:
    • Adobe Certified Expert - Adobe Experience Platform or equivalent.
    • Experience with Adobe Experience Platform Web SDK and Mobile SDK.

Additional Details

This job has a full time weekly schedule.The full-time equivalent pay range for this position is $114,240.00 - $178,500.00/yr CAD in Canada, or $116,800.00 - $182,500.00/yr USD in the US, 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/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: IT

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