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$165K

$243.5K

How much do part time data annotator jobs pay per year?

As of Jun 7, 2026, the average yearly pay for part time data annotator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are part time data annotators?

Part time data annotators are individuals who work on a flexible or reduced-hours basis to label, categorize, or tag data such as images, text, or audio. Their work helps train machine learning models by providing accurately labeled datasets. This role typically involves using specialized software to mark up data according to specific guidelines, and can often be done remotely. Part time positions are ideal for students, freelancers, or anyone seeking supplemental income while contributing to artificial intelligence projects.

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

A part-time data annotator can increase earnings by working multiple shifts, improving accuracy, and using efficient annotation tools. However, earning $2000 weekly part-time is uncommon and typically requires high-volume projects, specialized skills, or supplementing with other remote jobs.

What are some common challenges faced by part-time data annotators, and how can they be managed?

Part-time data annotators often encounter challenges such as repetitive tasks, tight deadlines, and maintaining high accuracy over long periods of work. To manage these, it's helpful to take regular short breaks, use annotation guidelines provided by the employer, and communicate proactively with team leads about any ambiguities in the data. Many organizations also provide training sessions and feedback, which can help annotators continuously improve their skills and adapt to evolving project requirements.

What is the difference between Part Time Data Annotator vs Part Time Data Labeler?

AspectPart Time Data AnnotatorPart Time Data Labeler
Required SkillsAttention to detail, basic understanding of data types, familiarity with annotation toolsAttention to detail, understanding of data categories, use of labeling software
Work EnvironmentRemote or office-based, working with datasets and annotation platformsRemote or office-based, focusing on labeling images, text, or audio data
Industry UsageAI, machine learning, data science projectsAI, machine learning, data preparation tasks

Both roles involve working with data to prepare it for machine learning models. The main difference lies in terminology; 'Data Annotator' often emphasizes detailed annotation tasks, while 'Data Labeler' focuses on categorizing data. Both positions typically require similar skills and are used interchangeably in many companies.

What are the key skills and qualifications needed to thrive as a Part Time Data Annotator, and why are they important?

To thrive as a Part Time Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms like Labelbox, CVAT, or proprietary tools, as well as understanding of data privacy and security protocols, is typically required. Excellent communication, time management, and the ability to follow precise instructions help individuals stand out in this role. These skills ensure high-quality, accurate data labeling that is crucial for training reliable machine learning models.
More about Part Time Data Annotator jobs
What cities are hiring for Part Time Data Annotator jobs? Cities with the most Part Time Data Annotator job openings:
What are the most commonly searched types of Data Annotator jobs? The most popular types of Data Annotator jobs are:
What states have the most Part Time Data Annotator jobs? States with the most job openings for Part Time Data Annotator jobs include:
What job categories do people searching Part Time Data Annotator jobs look for? The top searched job categories for Part Time Data Annotator jobs are:
Part Time Data Annotator jobs near you
Infographic showing various Part Time Data Annotator job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Part Time, 1% Temporary, and 11% Contract. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Video Data Annotator - Contract

Hooglee

San Francisco, CA • On-site

$25/hr

Part-time

Posted 3 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