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Day Shift Remote Data Annotation Jobs in New York

Project Healthy Minds

Services Data Lead

New York, NY · Remote

$75 - $100/hr

Fully remote within the US. * Documentation and the playbook are important deliverables * Expect a ... You'll provide input about what to add, what to shift, and what these changes costs us to source ...

Project Healthy Minds

Services Data Lead

New York, NY · Remote

$75 - $100/hr

Fully remote within the US. Documentation and the playbook are important deliverables Expect a ... You'll provide input about what to add, what to shift, and what these changes costs us to source ...

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

You will not be spending your days building traditional dashboards; instead, your mission is ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

TAL Healthcare

Remote Radiologist needed.

New York, NY · Remote

$500K/yr

Remote Musculoskeletal Radiologist Remote (Day Shift) Organization: WCMC - Level 1 Healthcare Provider Location: 100% Remote Schedule: Monday-Friday | 8:00 AM - 5:00 PM EST About WCMC: WCMC is a ...

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Day Shift Remote Data Annotation information

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

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

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

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is a day shift remote data annotation?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.
What are the most commonly searched types of Shift Remote Data Annotation jobs in New York? The most popular types of Shift Remote Data Annotation jobs in New York are:
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Day Shift Remote Data Annotation jobs near you

CAD Software Expert - Annotation Specialist

Mercor

New York, NY • Remote

$70 - $90/hr

Full-time

Re-posted 13 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: CAD Engineer — ScreenSpot Plus (Screenshot Capture & UI Annotation)
Type: Contract
Compensation: $70–$90/hour
Location: Remote

Role Responsibilities

  • Capture high-quality screenshots of professional CAD software during realistic, expert workflows.
  • Annotate interactive UI elements such as buttons, menus, panels, toolbars, and dialogs accurately and consistently.
  • Write clear, natural-language task instructions that reflect expert software use.
  • Iterate on feedback during the pilot phase to meet quality standards before scaling to full production.

Qualifications

Must-Have

  • Hands-on, professional experience with CAD software (e.g., AutoCAD, SolidWorks, Fusion 360, CATIA, Revit, Siemens NX).
  • Strong working knowledge of the day-to-day workflows and interface of your CAD tools.
  • Attention to detail and the ability to follow precise annotation and capture guidelines.
  • Clear written English for task instructions.
  • Reliable access to the relevant CAD software for capturing screenshots.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.