Amharic Language Expert | $40-$95/hr Remote
Overview
This role involves applying Amharic language expertise to train AI systems, including translation, localization, editing, dubbing, and audio engineering. The work directly improves natural language processing and understanding for Amharic. No prior AI experience is required, only domain knowledge.
What You'll Do7
- 1Translate, localize, and adapt content between Amharic and English to maintain accuracy and cultural relevance.
- 2Edit and proofread written materials for linguistic clarity, grammatical correctness, and style consistency.
- 3Perform dubbing and voice-over tasks for multimedia and AI training datasets.
- 4Engineer and process audio recordings, ensuring superior sound quality and format compliance.
- 5Collaborate with cross-functional teams to train AI models for natural language processing and understanding in Amharic.
- 6Apply linguistic expertise to annotate, evaluate, and refine language data for machine learning.
- 7Provide subject-matter insights to optimize workflows and address linguistic challenges.
Requirements6
- 1Native or near-native proficiency in Amharic with excellent command of English.
- 2Demonstrated experience in translating, editing, and localizing written and spoken content.
- 3Solid background in linguistics and language analysis.
- 4Proficiency with audio engineering tools for recording, editing, and processing voice content.
- 5Strong written communication skills and meticulous attention to detail.
- 6Ability to handle multiple projects independently in a remote environment.
Who Should Apply
Ideal candidate is a native or near-native Amharic speaker with strong English, experienced in translation, editing, and audio engineering. The candidate should be detail-oriented, independent, and comfortable working remotely on AI training projects. Previous experience in dubbing, voice-over, or AI training is a plus.
Salary Insight
$40-$95 per hour, remote, contractor position.
Required Skills
Application Tip
Highlight both your Amharic language expertise and your audio engineering skills in your application, as the role uniquely requires proficiency in both areas for training AI systems.