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After School Data Annotation Tech Jobs in Springfield, IL

... technology, AI, or digital innovation Preferred Qualifications Relevant certifications such as CFA ... A technical deep-dive on your financial expertise and data annotation experience A take-home ...

DATA MANAGER

Springfield, IL

$102.85K - $151.81K/yr

RC063 Professional Employees, Educators,Juvenile Justice School Counselors and Special Education ... Serves as liaison between the Department of Innovation and Technology (DoIT) and the office staff ...

New

DATA MANAGER

Springfield, IL

$102.85K - $151.81K/yr

RC063 Professional Employees, Educators,Juvenile Justice School Counselors and Special Education ... Serves as liaison between the Department of Innovation and Technology (DoIT) and the office staff ...

DATA MANAGER

Springfield, IL · On-site

$102.85K - $151.81K/yr

RC063 Professional Employees, Educators,Juvenile Justice School Counselors and Special Education ... Serves as liaison between the Department of Innovation and Technology (DoIT) and the office staff ...

High School Diploma or GED is required. * Associates degree in surgical technology is preferred ... after March 2025). * Basic Life Support (BLS) is required. Scheduled Weekly Hours: 0 Throughout ...

Hospice After Hours LPN

Springfield, IL · On-site

$25.50 - $34.75/hr

A company provided tablet and smart phone with 24/7/365 IT support * Company paid emotional health ... Graduate from an approved school of practical nursing * Two years of LPN experience, hospice ...

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After School Data Annotation Tech information

See Springfield, IL salary details

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

As of May 29, 2026, the average hourly pay for after school data annotation tech in Springfield, IL is $22.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $26.92 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 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.

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 popular job titles related to After School Data Annotation Tech jobs in Springfield, IL? For After School Data Annotation Tech jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching After School Data Annotation Tech jobs in Springfield, IL look for? The top searched job categories for After School Data Annotation Tech jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for After School Data Annotation Tech jobs? Cities near Springfield, IL with the most After School Data Annotation Tech job openings:
Infographic showing various After School Data Annotation Tech job openings in Springfield, IL as of May 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $47,090 per year, or $22.6 per hour.
Remote AI Prompt & Data Annotation Specialist

Remote AI Prompt & Data Annotation Specialist

DataAnnotation

Springfield, IL • Remote

$20/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A tech-driven AI company is seeking detail-oriented individuals to help train AI chatbots. This remote position allows flexibility in project selection and scheduling. Ideal candidates will develop prompts, write high-quality responses, and evaluate AI models based on guidelines.

No previous AI experience is required, just strong writing and research skills. Compensation starts at $20 per hour and can reach $28 for high-quality work. #J-18808-Ljbffr