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After School Data Annotation Tech Jobs (NOW HIRING)

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

Prior experience in content moderation, data annotation, or policy enforcement roles. Technical ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... or technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

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After School Data Annotation Tech information

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How much do after school data annotation tech jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for after school data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary depending on experience, location, and the company. Entry-level roles may pay minimum wage or slightly above, while experienced annotators can earn higher rates, especially if working on specialized projects or with advanced tools. Overall, it is a paid position with compensation reflecting skill level and workload.

What are the key skills and qualifications needed to thrive as an After School Data Annotation Tech, and why are they important?

To thrive as an After School Data Annotation Tech, you need 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, spreadsheet software, and occasionally proprietary AI tools is typically required. Strong time management, communication skills, and a commitment to accuracy help individuals excel in this role. These abilities are crucial for ensuring high-quality, reliable data that supports effective machine learning model training.

What are After School Data Annotation Techs?

After School Data Annotation Techs are individuals, often students or part-time workers, who assist in labeling and categorizing data—such as images, audio, or text—after regular school hours. Their work helps train artificial intelligence and machine learning models by providing accurately tagged datasets. These positions are a great way for students to gain experience with technology and contribute to real-world AI projects while managing their academic responsibilities. Tasks may include identifying objects in images, transcribing audio, or classifying text according to specific criteria.

What is the difference between After School Data Annotation Tech vs Data Labeling Associate?

AspectAfter School Data Annotation TechData Labeling Associate
CredentialsHigh school diploma or equivalent; training in data annotation toolsHigh school diploma or equivalent; training in labeling software
Work EnvironmentIndoor, office or remote settings, often part-timeIndoor, office or remote settings, often part-time
Industry UsageEducation technology, AI data preparationAI, machine learning, data processing
Job FocusAnnotating data for educational projects or AI modelsLabeling data for AI training datasets

Both roles involve data annotation and labeling, often requiring similar skills and environments. The main difference lies in their specific industry focus: After School Data Annotation Tech typically works on educational or AI projects related to education, while Data Labeling Associates focus on AI and machine learning data preparation across various industries.

Is it hard to get a job at data annotation tech?

Getting a job as an After School Data Annotation Tech typically requires attention to detail, basic computer skills, and the ability to follow instructions. Many positions are entry-level and may not require prior experience, but familiarity with data labeling tools and a reliable internet connection can be helpful. Competition varies depending on the company and location, but overall, these roles are accessible to those seeking flexible, part-time work.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies continue to expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and the ability to work remotely or on flexible schedules. Job availability can vary by region and industry needs, but overall, hiring for data annotation roles remains active.

What are some common challenges faced by After School Data Annotation Techs, and how can they be overcome?

After School Data Annotation Techs often encounter challenges such as maintaining high accuracy while labeling large volumes of data, staying focused during repetitive tasks, and adapting quickly to changing project guidelines. To overcome these, it's helpful to develop strong attention to detail, take regular short breaks to avoid fatigue, and actively communicate with supervisors when clarification is needed. Collaborating with teammates and participating in team check-ins can also help ensure consistency and provide support for troubleshooting difficult cases.

How to get jobs on data annotation tech?

To get a job as an After School Data Annotation Tech, candidates should develop strong attention to detail, basic computer skills, and familiarity with annotation tools or software. Applying through online job boards, company websites, or freelance platforms can help find openings, and having relevant experience or certifications in data labeling can improve chances of hiring.
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After School Data Annotation Tech jobs near you
Infographic showing various After School Data Annotation Tech job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Data Annotation Technician

Data Annotation Technician

Q ANALYSTS LLC

Kirkland, WA

Full-time

Posted 19 days ago

Job description

Company Description

Join Q Analysts and become part of a world-class organization. Q Analysts has a sixteen-years track record of providing managed services and we've partnered with some of the world's best companies to deliver services that exceed expectations. Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML).

Q Analysts is headquartered in San Jose, CA with a presence throughout the US and internationally. The company has been recognized repeatedly for its industry-leading growth rate and service quality. At Q Analysts, we listen to your needs and help you select what's right for you - this includes the right career opportunities, a choice of comprehensive benefits packages as well as technical training. When you become a Q Analysts employee, you'll see the difference in the superior levels of support and service we deliver to you, our partners, through our Consultant Experience Program. Learn about us here and come join us.

Job Description

Q Analysts is a high growth technology consulting company with a focus on providing Quality Assurance & Testing and Ground Truth Data Services to top technology corporations in the US. We deliver value added services to our clients that include managed services and managed projects.

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection initiatives and contribute to the development of VR and AR products. The focus of ground truth data collection is to capture various types of data relating to humans, speech and environments to enable quality Artificial Intelligence and Machine Learning algorithms. The Data Annotation Technician will be responsible for analyzing and summarizing data while utilizing specialized tooling for processing. The ideal candidate will have an appreciation for technology, be able to work autonomously and efficiently and have strong attention to detail. This is a short term project with potential for long term.

Responsibilities: 

  • Generate answer summaries to a given question from pre-determined content
  • Analyze content and use best judgement for proper answers
  • Meet daily, weekly and monthly velocity expectations
  • Generate daily reports on completed tasks
  • Assist with peer to peer training
Qualifications

Skills and Requirements: 

  • Ability to work on repetitive tasks effectively
  • Strong written grammar skills
  • Professional verbal and written communication 
  • Able to make judgement calls based on a set of criteria
  • Able to manage time effectively with minimum oversight 
  • Organized and detail oriented 
  • Adaptable, reliable and ethical 
  • Technology skills including tooling and PC
  • Transcription or tagging skills a major plus

Experience: 

  • Experience in a related role 
  • Experience in a role requiring usage of a variety of technology tools
  • Experience with Microsoft Office 365 and all its components (SharePoint, Forms, Power Automate, Outlook, Word, Excel) 

Verification of COVID 19 vaccination, background check, and ability to work in the United States without requiring sponsorship required for all new hires.

Additional Information

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability Q Analysts is an EOE. All your information will be kept confidential according to EEO guidelines.

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