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Hourly Remote Data Annotation Jobs in Secaucus, NJ

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

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Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What are the most commonly searched types of Remote Data Annotation jobs in Secaucus, NJ?

The most popular types of Remote Data Annotation jobs in Secaucus, NJ are:

What are popular job titles related to Hourly Remote Data Annotation jobs in Secaucus, NJ?

For Hourly Remote Data Annotation jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Annotation jobs in Secaucus, NJ look for?

The top searched job categories for Hourly Remote Data Annotation jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Hourly Remote Data Annotation jobs?

Cities near Secaucus, NJ with the most Hourly Remote Data Annotation job openings:

Infographic showing various Hourly Remote Data Annotation job openings in Secaucus, NJ as of June 2026, with employment types broken down into 75% Full Time, 18% Part Time, 1% Temporary, 2% Contract, and 4% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Remote Bioactivity Data Review Scientist

24-MAG LLC

Manhattan, NY • Remote

Part-time

Posted 5 days ago


Job description

24-MAG LLC is offering a specialised, part-time remote consulting role for biology research professionals. You will review bioactivity data and verify protein target assignments using UniProt workflows, supported by primary literature analysis and evidence-based annotation. Ideal candidates hold BA/BS to PhD-level credentials with experience in biotech/pharma or CRO settings, and can work 10-20 hours per week remotely. Competitive hourly rates apply, with payments weekly via Stripe or Wise. #J-18808-Ljbffr