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After School Data Annotation Tech Jobs (NOW HIRING)

Amazon

PM, Science Annotation

Bellevue, WA

... technology and science teams to support new Machine Learning (ML) models and data science ... annotation tasks align with project objectives and timelines Maintain high-quality standards for ...

Amazon

PM, Science Annotation

Bellevue, WA

... technology and science teams to support new Machine Learning (ML) models and data science ... annotation tasks align with project objectives and timelines Maintain high-quality standards for ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Chicago, IL

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Wichita, KS

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

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All JobsData Annotation Tech JobsAfter School Data Annotation Tech Jobs

After School Data Annotation Tech information

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$34

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

As of Jun 9, 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.

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.

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.
More about After School Data Annotation Tech jobs
What cities are hiring for After School Data Annotation Tech jobs? Cities with the most After School Data Annotation Tech job openings:
What are the most commonly searched types of Data Annotation Tech jobs? The most popular types of Data Annotation Tech jobs are:
What states have the most After School Data Annotation Tech jobs? States with the most job openings for After School Data Annotation Tech jobs include:
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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 May 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
AI Evaluation & Annotation Specialist (Entry-Mid Level) - German (US)

AI Evaluation & Annotation Specialist (Entry-Mid Level) - German (US)

Volga Partners

Remote

$15 - $17/hr

Contractor

PTO

Posted 2 days ago

Job description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence?
We're looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you'll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency.
No engineering background required - if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit.
This is a hands-on, production-based role where accuracy, focus, and consistency matter.
What You'll Do
  • Review AI-generated responses and rate them for clarity, correctness, and relevance.
  • Annotate and label content based on project-specific guidelines.
  • Follow detailed written instructions and apply them consistently.
  • Generate or evaluate prompts depending on assignment type.
  • Work with QA Leads to apply feedback and continuously improve task quality.
  • Report completed work daily and meet productivity and quality standards.

What Makes You a Strong Fit
  • You're detail-oriented and enjoy accuracy-based work.
  • You can follow instructions carefully and apply them consistently.
  • You're comfortable working independently with minimal supervision.
  • You have strong reading comprehension and critical thinking skills.
  • You communicate clearly and respond to feedback professionally.

Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required - training and guidance is provided.
Schedule & Work Expectations
This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team:
Language
Shift Window (PST)
9:00 AM to 6:00 PM
  • Standard expectation: One consecutive 8-hour shift
  • Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule)
  • Only logged, approved hours are paid.

This project follows a no paid holidays / no paid time off model.
Location Restrictions
We are unable to accept applicants currently residing in:
Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela.
Why Join
• Work with a global team
• Entry point into the growing AI and language technology industry
• Exposure to real-world AI model training
• Skill development in annotation, QA/evaluation, and structured AI tasks
This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles.
Compensation Range
Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD:
$15.00 USD to $17.00 USD per hour
Requirements
Assessment Requirement
All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards.
Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role.
  • Fluency in German, with strong written and verbal communication skills.
  • Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience.
  • Experience or interest in AI, Machine Learning, or data annotation preferred.
  • Strong attention to detail and ability to work with complex data sets.
  • Familiarity with translation and localization processes is an advantage.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Apply