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Day Data Annotation Jobs in Illinois (NOW HIRING)

... days/week Initial schedule: 9:00am-5:30pm PST for two weeks; then your local timezone Personal ... A technical deep-dive on your financial expertise and data annotation experience A take-home ...

... 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 Illinois? The most popular types of Data Annotation jobs in Illinois are:
What cities in Illinois are hiring for Day Data Annotation jobs? Cities in Illinois with the most Day Data Annotation job openings:
AI Banking Tutor

AI Banking Tutor

CloudDevs

Springfield, IL • On-site

$45/hr

Full-time, Contractor

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


Job description

Role Description Mercor is partnering with a leading AI research group to engage experienced banking professionals in a high-impact project focused on training and refining advanced AI systems. This opportunity involves providing high-quality annotations and data inputs across diverse banking domains, including corporate banking operations, retail services, loan processing, customer account management, and financial product offerings. As an AI Banking Data Specialist , you will help shape how advanced AI models understand and reason about real-world financial processes.

This role requires analytical rigor, adaptability, and a passion for technological innovation within the banking industry. This is a full-time opportunity suited for professionals with extensive experience in banking or financial services who are eager to apply their expertise to the development of next-generation AI systems. Key Responsibilities Use proprietary software to label, annotate, and evaluate AI-generated outputs related to financial services Deliver curated, high-quality data for corporate banking, retail banking, loan management, and financial product development Collaborate with technical and research teams to train and refine AI models for banking applications Assist in designing and improving annotation tools and workflows tailored for financial datasets Identify and analyze complex problems in banking domains to enhance AI model reasoning and performance Apply sound judgment and maintain precision while adapting to evolving task instructions Qualifications Professional experience in banking, finance, or related fields (e.g., corporate or retail banking, loan processing, or financial product management) Excellent written and verbal communication skills in English Strong analytical, organizational, and problem-solving skills Ability to work independently and interpret complex instructions with accuracy Demonstrated interest in financial technology, AI, or digital innovation Preferred Qualifications Relevant certifications such as CFA, FRM, CBCA, CAMS, or CPA Experience mentoring or training professionals in banking or finance Familiarity with AI systems, data annotation workflows, or technical environments Comfort recording short audio or video clips for model training datasets More About the Opportunity Remote or in-person (Palo Alto, CA); in-office requires 5 days/week Initial schedule: 9:00am–5:30pm PST for two weeks; then your local timezone Personal computer must be a Chromebook, Mac (macOS 11+), or Windows 10+ device Reliable smartphone access required U.S.-based applicants must reside outside of Wyoming and Illinois Visa sponsorship not available Compensation & Contract Terms $45–100/hour for U.S.-based professionals, depending on experience and location International pay rates available upon request You'll be classified as an independent contractor Payments issued regularly for services rendered Hourly pay is part of a broader rewards package; benefits vary by country Application Process Submit your resume to get started Complete a 15-minute screening interview If selected, proceed to: A technical deep-dive on your financial expertise and data annotation experience A take-home challenge involving banking or financial data labeling A team meet-and-greet with project collaborators The full interview process is designed to conclude within one week #J-18808-Ljbffr