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Part Time Night Shift Data Annotation Jobs (NOW HIRING)

tlc

Front Desk Part Time Night Shift

Appleton, WI · On-site

$17.50 - $18.79/hr

Front Desk Receptionist - Part-Time (Night Shift) Real Hospitality. Real Purpose. Real Work-Life Balance. Touchmark on West Prospect | Appleton's Leading Full-Service Senior Living Community Pay: $17 ...

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All JobsData Annotation JobsPart Time Night Shift Data Annotation Jobs

Part Time Night Shift Data Annotation information

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$60

$104

How much do part time night shift data annotation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for part time night shift data annotation in the United States is $60.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $72.84 per hour, depending on experience, location, and employer.

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

AspectPart Time Night Shift Data AnnotationPart Time Night Shift Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, quiet environmentRemote or office-based, quiet environment
Industry UsageAI and machine learning companiesAI and machine learning companies
Job FocusAdding annotations to data for model trainingApplying labels to data for AI algorithms

Both roles involve working with data to support AI development, often during night shifts. Data annotation typically involves marking specific features in images, videos, or text, while data labeling focuses on assigning categories or tags. The skills and work environment are similar, making these roles interchangeable for many employers in the AI industry.

What job categories do people searching Part Time Night Shift Data Annotation jobs look for? The top searched job categories for Part Time Night Shift Data Annotation jobs are:
Part Time Night Shift Data Annotation jobs near you
Infographic showing various Part Time Night Shift Data Annotation job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $125,110 per year, or $60.1 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Re-posted 29 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology