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After School Data Annotation Tech Jobs (NOW HIRING)

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

... our technology. We are now seeking passionate individuals to join us in the next phase of our ... This role is about building and leading a world class in-house data annotation team that is able to ...

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... Q Analysts is a high growth technology consulting company with a focus on providing Quality ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

... T consulting and workforce solutions firm providing services and support to Fortune 500 and ... We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal ...

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All JobsAfter School Data Annotation Tech Jobs

After School Data Annotation Tech information

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$12

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$34

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.
More about After School Data Annotation Tech jobs
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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 Lead

Data Annotation Lead

Sunday Inc

Redwood City, CA • On-site

Full-time

Posted 23 days ago

Key responsibilities

  • Build and lead an in-house data annotation team.

  • Manage the people side of data annotations.

  • Create documentation and develop data annotation processes.

Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
We're looking for a Data Annotations Lead to join our Data team and own the people side of data annotation.
This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it comes to data.
You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and are upholding a culture of happiness.
What You'll Do
  • Build a data annotation team
  • Manage the people side of data annotations
  • Create documentation
  • Be in the weeds and annotate data yourself anytime something new is being designed
  • Create data annotation processes
  • Vibe code data annotation tools during pilot stages

What You'll Bring
  • Clear written and verbal communication to guide our data annotators
  • Your ability to manage unexpected challenges
  • Your ownership of key stakeholders with data annotators, engineering, and support
  • Excitement for the growth and development of data annotation
  • Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
  • A level of hardcore-ness while still treating people like people
  • Intermediate level understanding of ML

Nice to Have
  • Previous experience leading data annotation teams
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to help improve productivity

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.

Apply