ZipRecruiter

Log In

2

Part Time Ai Annotation Jobs (NOW HIRING)

Hooglee

Video Data Annotator - Contract

San Francisco, CA · On-site

$25/hr

San Francisco, On-site Compensation: $25/hour Schedule: Part-time (4-8 hours per day) Duration: 10 ... Provide feedback on video quality and questionnaire setup to the AI Team * Communicate clearly ...

xAI

Legal & Compliance Tutor

Palo Alto, CA · On-site +1

$100/hr

Familiarity with AI or data annotation workflows in a technical setting. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on ...

next page

Showing results 1-20

All JobsPart Time Ai Annotation Jobs

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 Jun 20, 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.

Which 3 jobs will survive AI?

Part Time AI Annotation jobs are likely to persist because they require human judgment for complex data labeling and quality control. Roles involving creative thinking, emotional intelligence, and strategic decision-making, such as content creators and mental health professionals, are also expected to remain in demand despite AI advancements.

How much does an AI annotator make?

AI annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many roles are freelance or part-time, often requiring attention to detail and familiarity with annotation tools.

What's the easiest AI job to get?

Entry-level AI annotation jobs, such as data labeling or image annotation, are among the easiest AI-related roles to obtain. These positions typically require basic computer skills, attention to detail, and sometimes training on specific annotation tools, with minimal prior experience needed.

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 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.

How can I make $2000 a week working from home?

Part-time AI annotation jobs can contribute to earning income from home, but making $2000 weekly typically requires multiple roles or high-volume projects, as pay per task is usually modest. Success depends on efficiency, experience, and access to multiple platforms or clients, often involving consistent work and skill in data labeling tools.

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.
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:
What job categories do people searching Part Time Ai Annotation jobs look for? The top searched job categories for Part Time Ai Annotation jobs are:
Part Time Ai Annotation jobs near you

Video Data Annotator - Contract

Hooglee

San Francisco, CA • On-site

$25/hr

Part-time

Posted 15 days ago

Job description

Video Data Annotator (Contract) - On-Site
Location: San Francisco, On-site
Compensation: $25/hour
Schedule: Part-time (4-8 hours per day)
Duration: 10-week engagement to start
We are looking for a Video Data Annotator (Contract) to support our AI Team.
This is an on-site role. A device will be provided in the office.
Program Overview
  • 10-week initial engagement
  • Opportunity to transition to full-time based on team needs and performance
What You'll Do
  • Watch and annotate video data across different formats
  • Label and evaluate video content with high accuracy
  • Provide feedback on video quality and questionnaire setup to the AI Team
  • Communicate clearly about edge cases, inconsistencies, or improvements
Must-Have Qualifications
  • Strong attention to detail
  • Strong English reading, writing, and speaking skills
Nice-to-Have
  • Prior data labeling or annotation experience

If you're detail-oriented, comfortable working with video content, and excited to contribute to AI model development, we'd love to hear from you.

Apply