RWS TrainAI
Posted 4 months ago
AI Data Specialist - Amharic
GondarRemotePart-time
AI Summary
Amharic AI Data Specialist responsibilities include collecting, evaluating, and annotating data, performing pairwise comparisons, counting tasks, and tagging or labeling content across various media.
About this role
We are looking for AIData Specialists to support the improvement of AI-generated content in Amharic.
Job Type: Freelance
Location: Work from home
Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want.
Start Date: Immediately
Duration: TBC
Rate: 10 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different)
Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?
What You’ll Do
The role involves performing diverse data-related tasks, including:
- Data collection, evaluation, and annotation.
- Pairwise comparisons.
- Counting tasks.
- Object tagging and labeling across different content types (audio, video, images, or collected data)
What We’re Looking For
- Native-level fluency in Amharic
- English Proficiency: Fluent or advanced proficiency in English (levels B2–C2)
- AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.
What We Offer
- Flexible schedule
- Opportunity to earn extra income
- Timely payments
- The job is ideal for students, part-timers, or stay-at-home parents
#LI-CAN17
Skills
AmharicAmharic Language ProcessingAudio LabelingContent TaggingData AnnotationData Annotation ToolingData CollectionData Collection From Various Content TypesData EvaluationData LabelingData PreprocessingData QualityEnglish Proficiency (B2-C2)Image LabelingMachine Learning TasksObject TaggingPairwise ComparisonsQuality AssuranceVideo LabelingWorking With Multilingual Data
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