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Day Data Annotation Jobs in Bolingbrook, IL (NOW HIRING)

... day. This is a fully remote, flexible contract role - work on your own schedule and make a ... Familiarity with AI systems, content evaluation, or data annotation workflows Why Join Us * Work on ...

Day Data Annotation information

What are the key skills and qualifications needed to thrive as a Day Data Annotation Specialist, and why are they important?

To excel as a Day Data Annotation Specialist, you need strong attention to detail, data entry accuracy, and a solid understanding of the subject matter being annotated, often supported by a high school diploma or relevant experience. Familiarity with annotation tools, spreadsheets, and data management software is typically required. Excellent concentration, time management, and clear communication skills help professionals stand out in this role. These abilities are crucial to ensure high-quality, consistent data labeling that directly impacts the performance of machine learning models and downstream business applications.

What are some common challenges faced by Day Data Annotation specialists and how can they be addressed?

Day Data Annotation specialists often encounter challenges such as maintaining high accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To address these, it's important to develop strong attention to detail, use project guidelines as references, and communicate with team leads or peers when uncertainties arise. Many organizations also provide regular feedback and quality assurance checks, which help annotators improve their performance and consistency over time.

What are Day Data Annotation jobs?

Day Data Annotation jobs involve reviewing and tagging data, such as images, text, audio, or video, during regular daytime hours. Annotators help prepare datasets for machine learning and artificial intelligence by labeling or categorizing information according to specific guidelines. This work is essential for training algorithms to recognize patterns, objects, or language. Day Data Annotation can be done remotely or in-office, and it often requires attention to detail and good communication skills.

What is the difference between Day Data Annotation vs Data Labeler?

AspectDay Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, collaborative teamsRemote or on-site, independent work
Industry UsageAI/ML companies, tech firmsAI/ML, data processing companies
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Day Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI. Day Data Annotation often involves more detailed annotation tasks, while Data Labelers may perform broader labeling activities. Both roles require basic technical skills and are vital in AI development across tech industries.

What are the most commonly searched types of Data Annotation jobs in Bolingbrook, IL? The most popular types of Data Annotation jobs in Bolingbrook, IL are:
What job categories do people searching Day Data Annotation jobs in Bolingbrook, IL look for? The top searched job categories for Day Data Annotation jobs in Bolingbrook, IL are:
What cities near Bolingbrook, IL are hiring for Day Data Annotation jobs? Cities near Bolingbrook, IL with the most Day Data Annotation job openings:

Management & Leadership Instructor

Alignerr

Chicago, IL • Remote

Full-time

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


Job description

Management & Leadership Instructor (AI Training)
About the Role
We're looking for experienced management and leadership educators to help shape the next generation of AI. Your expertise in organizational behavior, team dynamics, and decision-making will directly influence how AI systems reason about the complex, real-world challenges that leaders face every day.
This is a fully remote, flexible contract role - work on your own schedule and make a meaningful impact on cutting-edge AI development.
  • Organization
    : Alignerr (Powered by Labelbox)
  • Type
    : Hourly / Task-Based Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
  • What You'll Do
    • Review AI-generated management and leadership scenarios for accuracy and realism
    • Evaluate the quality of AI reasoning related to team dynamics, incentive structures, and organizational decision-making
    • Identify flawed assumptions, weak logic, or unrealistic recommendations in AI outputs
    • Provide clear, structured feedback to help AI systems reason more like experienced leaders
    • Work independently and asynchronously - no meetings, no rigid schedules
    Who You Are
    • 3+ years of experience teaching management or leadership at the postsecondary level
    • Strong command of organizational behavior, leadership theory, and management frameworks
    • Skilled at evaluating decision-making quality and identifying tradeoffs
    • Comfortable reading and critiquing written scenarios, case studies, and recommendations
    • Self-directed and reliable - able to meet deadlines without hand-holding
    Nice to Have
    • MBA or Master's degree in Management, Organizational Behavior, or a related field
    • Real-world industry experience in leadership, operations, or organizational consulting
    • Familiarity with AI systems, content evaluation, or data annotation workflows
    Why Join Us
    • Work on cutting-edge AI projects with top research labs
    • Fully remote and flexible - work when and where you choose
    • Freelance perks: autonomy, variety, and global collaboration
    • Contribute to meaningful work that shapes how AI understands human leadership
    • Potential for ongoing work and contract extension