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Part Time Ai Annotation Jobs (NOW HIRING)

xAI

AI Healthcare and Administration 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 ...

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Part Time Ai Annotation information

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$45K

$58.4K

$97.5K

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

As of Jul 11, 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.

Can you do data annotation part-time?

Part-time AI annotation roles are common and typically involve flexible schedules, allowing individuals to work fewer hours than full-time positions. These jobs often require basic understanding of annotation tools and attention to detail, making them suitable for those seeking part-time work in data labeling and training AI models.

How to become an AI annotator?

To become an AI annotator, you typically need strong attention to detail, good reading comprehension, and basic computer skills. Many positions require completing online training or tutorials, and familiarity with annotation tools or platforms is often helpful. These roles are usually part-time and may require a flexible schedule.

What's the easiest AI job to get?

An entry-level AI annotation job is often considered one of the easiest AI-related roles to obtain, as it typically requires minimal technical skills and involves labeling data for machine learning models. These positions usually involve working with simple tools and can often be done remotely with basic training. However, they may be competitive and require attention to detail and consistency.

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.

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
Infographic showing various Part Time Ai Annotation job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Session Moderator, AI Data Studio (Part-Time)

Session Moderator, AI Data Studio (Part-Time)

HumanSignal

Columbus, OH • On-site

$18 - $25/hr

Part-time

Posted 6 days ago

Job description

About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
About the Role
Moderators run our in-person data collection sessions. You'll set up the recording equipment, walk participants through their tasks, keep the session on track, and make sure the data we capture is clean and usable. It's part technical, part people. The best moderators are the ones who can troubleshoot a camera rig and put a nervous first-time participant at ease in the same five minutes.
  • Location: Columbus, OH (Discovery District), 100% onsite
  • Type: Part time, hourly
  • Pay: $18 to $25 per hour
What You'll Do
  • Lead group and individual data collection sessions from start to finish
  • Set up, operate, and troubleshoot recording equipment: cameras, microphones, sensors, and session software
  • Give clear instructions, answer participant questions, and keep sessions moving on schedule
  • Monitor recordings in real time and catch quality issues before they become re-shoots
  • Flag equipment or process problems to the shift Team Lead
  • Reset the studio between sessions
What You Bring
  • Hands-on experience with technical setup of some kind. We've had great moderators come from audio engineering, IT support, photography, videography, AV and live events, and robotics or equipment operation
  • Comfort speaking in front of a group and directing a room. This is non-negotiable; moderators lead sessions, not just run gear
  • Patience and clarity when explaining instructions to people with zero technical background
  • Attention to detail. Small setup mistakes ruin whole sessions
  • Availability for part-time shifts during active project periods, including some evenings and weekends
Why This Role
You'll work with interesting capture technology, build real facilitation experience, and see exactly how the data behind modern AI gets created. Flexible part-time scheduling around active projects.
HumanSignal is an equal opportunity employer. Final pay within the posted range is based on experience and equipment scope.

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