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Data Annotator
OneForma
HybridHybrid
Original Job Summary
About the Role
The Data Annotator position at OneForma allows you to work directly on the UHRS platform, a part of a top global AI developer. As a Data Annotator, you will participate in a wide variety of micro-tasks including local search relevance and image labeling.
Why Join UHRS?
- Ongoing micro-task opportunities (first-come, first-served basis)
- Quick onboarding with no special skills needed
- Work from home with flexible hours
- Simple plug-and-play tasks
Key Responsibilities
- Access and work on the UHRS platform
- Handle a variety of tasks daily such as search relevance and image labeling
- Choose from different jobs alongside regular OneForma projects
Requirements
- Fluency in English or Spanish with high proficiency
- Reliable laptop and stable internet connection
- Regular availability to complete tasks
- Willingness to create an account on the client portal
Compensation
Paid per task based on productivity with average earnings ranging from $8 to $20 per hour.
How to Apply
Create your OneForma profile by visiting this link. Navigate to the Jobs tab, select UHRS Project, and choose your preferred language. Follow the instructions to learn more and apply.
Key skills/competency
Data Annotation, Micro-tasks, AI, Image Labeling, Search Relevance, Flexibility, Onboarding, Remote Work, English, Spanish
How to Get Hired at OneForma
🎯 Tips for Getting Hired
- Research OneForma's culture: Review their mission, values, and projects online.
- Customize your resume: Align skills with data annotation tasks.
- Highlight relevant experience: Emphasize work-from-home and micro-tasks.
- Prepare for micro-task interviews: Understand task variety and productivity metrics.
📝 Interview Preparation Advice
Technical Preparation
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Review image labeling software basics.
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Understand local search algorithms.
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Practice using online task platforms.
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Set up a reliable digital workspace.
Behavioral Questions
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Describe handling repetitive tasks under deadlines.
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Explain managing work-from-home challenges.
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Discuss adapting to varied task types.
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Share experiences working without supervision.