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Part Time Data Entry Remote Weekend Jobs in Tempe, AZ

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All JobsData Entry JobsPart Time Data Entry Remote Weekend JobsPart Time Data Entry Remote Weekend Jobs in Tempe, AZ

Part Time Data Entry Remote Weekend information

See Tempe, AZ salary details

$10

$18

$27

How much do part time data entry remote weekend jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for part time data entry remote weekend in Tempe, AZ is $18.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.96 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Entry Remote Weekend vs Part Time Data Entry Clerk?

AspectPart Time Data Entry Remote Weekend
Work EnvironmentRemote, flexible hours on weekends
Required SkillsBasic computer skills, attention to detail
CertificationsNone typically required
Industry UsageCommon in administrative and data management sectors

Part Time Data Entry Remote Weekend jobs focus on flexible, weekend-based remote work, often requiring minimal certifications. In contrast, Part Time Data Entry Clerk roles may involve working in an office or on-site, with similar skill requirements but less emphasis on weekend hours. Both roles serve administrative functions but differ mainly in work setting and schedule flexibility.

What are popular job titles related to Part Time Data Entry Remote Weekend jobs in Tempe, AZ? For Part Time Data Entry Remote Weekend jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Part Time Data Entry Remote Weekend jobs in Tempe, AZ look for? The top searched job categories for Part Time Data Entry Remote Weekend jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Part Time Data Entry Remote Weekend jobs? Cities near Tempe, AZ with the most Part Time Data Entry Remote Weekend job openings:
Part Time Data Entry Remote Weekend jobs near you
Infographic showing various Part Time Data Entry Remote Weekend job openings in Tempe, AZ as of August 2026, with employment types broken down into 35% Full Time, and 65% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $38,794 per year, or $18.7 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Phoenix, AZ • Remote

$20/hr

Full-time, Part-time

Posted 8 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