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Day Shift Remote Data Annotation Jobs (NOW HIRING)

Welo Data

Remote Polish Search Analyst AI

Manhattan, NY · Remote

$8.75/hr

A data annotation company is seeking Polish speakers for an entry-level role in data annotation, helping enhance AI in e-commerce. The position is remote, allowing total flexibility in your schedule.

Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ...

Mercor

Data Annotation Specialist - AI Lab

New York, NY · Remote

$50/hr

Remote Role Responsibilities * Review, evaluate, and annotate AI outputs with extreme attention to ... Experience with large-scale AI data annotation or evaluation programs. * Background in QA, ...

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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, and why are they important?

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 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 job?

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 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.

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Day Shift Remote Data Annotation jobs near you
Infographic showing various Day Shift Remote Data Annotation job openings in the United States as of May 2026, with employment types broken down into 69% Full Time, 27% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

WFH AI Data Annotation Specialist - Freelance

TELUS Digital AI Data Solutions

Waipahu, HI • Remote

$6 - $18/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview Join to apply for the WFH AI Data Annotation Specialist - Freelance role at TELUS Digital AI Data Solutions . We're seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you'll annotate, label, and curate data that powers advanced machine learning models.

Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide. Key Responsibilities Annotate & Label: Tag, categorize, and review text, images, and documents. Collect Data: Gather and organize high-quality datasets for AI training.

Ensure Quality: Review and validate data for precision and consistency. Collaborate Globally: Work with an international team to hit project milestones. Flexible Hours Work up to 10 hours per day, 40 hours per week—on your schedule.

Qualifications Strong attention to detail and ability to follow precise instructions. Reliable internet connection and ability to work independently. Prior experience in data annotation or labeling is a plus, but not required.

Basic understanding of AI or machine learning concepts is advantageous. Strong proficiency in English for clear communication and reporting. Assessment Complete an initial qualification assessment to demonstrate suitability for the role.

Provide ID verification for participation. Payment Freelance rates range from $6–$18 USD per hour, depending on experience, geographic location, and project requirements. Payment is competitive and reflects the value of your contributions to AI training projects.

Seniority level Entry level Employment type Part-time Job function Administrative Industries: IT Services and IT Consulting Get notified about new Data Annotator jobs in Waipahu, HI . #J-18808-Ljbffr

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