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Part Time Ai Annotation Jobs (NOW HIRING)

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Part Time Ai Annotation information

See salary details

$45K

$58.4K

$97.5K

How much do part time ai annotation jobs pay per year?

As of May 29, 2026, the average yearly pay for part time ai annotation in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time AI Annotation Specialist, and why are they important?

To thrive as a Part Time AI Annotation Specialist, you need strong attention to detail, proficiency in data entry, and a basic understanding of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, productivity tools, and sometimes specialized labeling software is typically required. Strong communication, time management, and the ability to follow complex instructions are important soft skills in this role. These skills ensure accurate and efficient data labeling, which is vital for training high-quality AI and machine learning models.

What are some common challenges faced by part-time AI annotation specialists, and how can they be managed?

Part-time AI annotation specialists often encounter challenges such as maintaining high accuracy while working with repetitive data, managing time effectively alongside other commitments, and adapting to evolving annotation guidelines. To succeed, it's important to take regular breaks to prevent fatigue, stay organized with clear schedules, and communicate proactively with project managers about any uncertainties or workload concerns. Additionally, keeping up-to-date with training resources and feedback helps ensure annotation quality and efficiency.

What are part-time AI annotation jobs?

Part-time AI annotation jobs involve labeling or tagging data such as text, images, audio, or video to help train artificial intelligence and machine learning models. Annotators review and categorize data according to specific guidelines provided by companies or researchers. These jobs typically require attention to detail, basic computer skills, and the ability to follow instructions. Part-time positions offer flexible hours, making them suitable for students, freelancers, or those seeking additional income.

What is the difference between Part Time Ai Annotation vs Data Labeler?

AspectPart Time Ai AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search & Comparison IntentYesYes

Part Time Ai Annotation and Data Labeler roles are similar, often requiring basic computer skills and attention to detail. Both typically operate in remote or flexible environments within the AI and tech industries. The main difference lies in terminology; 'Ai Annotation' emphasizes the annotation process, while 'Data Labeler' is a more general term. Both roles are essential for training machine learning models and are often used interchangeably in job searches.

More about Part Time Ai Annotation jobs
What are the most commonly searched types of Ai Annotation jobs? The most popular types of Ai Annotation jobs are:
Infographic showing various Part Time Ai Annotation job openings in the United States as of May 2026, with employment types broken down into 98% Part Time, and 2% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Houston, TX โ€ข Remote

$20/hr

Full-time, Part-time

Posted 19 days ago


Job description

As an AI Training Specialist (Data Annotation), youโ€™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

Weโ€™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