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Data Annotator
Mindy Support. Label, tag, and annotate objects, text, or visual data according to strict parameters and project guidelines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates the ability to accurately label, tag, and annotate data while adhering to strict guidelines and quality standards. Possesses strong analytical skills to categorize data, detect patterns, and ensure data integrity in AI model training.
Highest-signal resume keywords
Data AnnotationDataset VerificationPattern DetectionLogical ReasoningAttention to Detail
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Soft Skills
Ability to Follow InstructionsCommitment to Routine Tasks
Tools & Technologies
Intel Core i3 (8th Gen or Higher)Intel Core i5 (6th Gen or Higher)AMD ProcessorMinimum 8 GB RAMStable High-Speed Internet Connection
Industry Keywords
Artificial IntelligenceData IntegrityQuality StandardsIT Solutions
About the role
Key responsibilities & impact- Label, tag, and annotate objects, text, or visual data according to strict parameters and project guidelines
- Review, verify, and assess the accuracy of datasets used to train AI models
- Consistently follow project rules, guidelines, and quality standards to ensure data integrity
Requirements
What you’ll need- No prior experience is required
- Ability to spot minor inaccuracies, follow complex instructions precisely, and stay committed to routine tasks
- Strong desire to explore modern IT solutions and build a career in the artificial intelligence sector
- Capacity to categorize data effectively, detect patterns, and apply logical reasoning
- Intel Core i3 (8th Gen or higher) / Intel Core i5 (6th Gen or higher) or equivalent AMD processor
- Minimum 8 GB RAM
- Stable, high-speed internet connection
Benefits
Comp & perks- Full Onboarding & Training: Comprehensive mentorship and step-by-step guidance from day one
- Flexible Working Hours: Highly adaptable schedule
- Career Growth: Opportunities to continue working on future AI initiatives within the company after project completion
- Remote Freedom: Work from anywhere with your laptop and internet connection