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About Micro1: Job Title: Amharic Language ExpertJob Type: ContractorLocation: RemoteJob Summary:Join our customer's team as an Amharic Language Expert, where you will play a pivotal role in shaping high-quality language content and supporting AI development. This unique position will leverage your skills in translation, dubbing, and linguistic analysis to train and enhance innovative language technologies.Key Responsibilities:Translate, localize, and adapt content between Amharic and English to maintain accuracy and cultural relevance.Edit and proofread written materials for linguistic clarity, grammatical correctness, and style consistency.Perform dubbing and voice-over tasks for multimedia and AI training datasets.Engineer and process audio recordings, ensuring superior sound quality and format compliance.Collaborate with cross-functional teams to train AI models for natural language processing and understanding in Amharic.Apply linguistic expertise to annotate, evaluate, and refine language data for machine learning.Provide subject-matter insights to optimize workflows and address linguistic challenges.Required Skills and Qualifications:Native or near-native proficiency in Amharic with excellent command of English.Demonstrated experience in translating, editing, and localizing written and spoken content.Solid background in linguistics and language analysis.Proficiency with audio engineering tools for recording, editing, and processing voice content.Strong written communication skills and meticulous attention to detail.Ability to handle multiple projects independently in a remote environment.Experience in dubbing and voice-over work, especially for AI or multimedia applications.Preferred Qualifications:Previous experience working as an AI trainer or on language technology projects.Familiarity with current trends in natural language processing and machine learning.Knowledge of additional Ethiopian languages is a plus.As an Amharic language expert AI trainer, you will contribute directly to the advancement of cutting-edge AI solutions in your language, making a tangible impact on technology for Amharic speakers worldwide.

About Micro1: Job Title: Audio Engineer (Native English Language)Job Type: ContractorLocation: RemoteJob Summary:Join our customer’s team as a highly skilled Audio Engineer (Native English Language) and elevate voiceover, dubbing, and audio production quality in innovative projects. This role is ideal for audio engineering experts passionate about linguistic precision, creative audio solutions, and AI training, all while leveraging your expertise as a native English speaker.Key Responsibilities:Design, record, and edit high-fidelity audio for dubbing and voiceover projects, ensuring natural fluency and clarity in native English.Collaborate with localization and content teams to guarantee seamless integration of audio assets across multimedia deliverables.Oversee the technical workflow for audio post-production, including cleanup, mastering, and synchronization with video content.Apply expert knowledge of translation and adaptation processes for dubbing projects, maintaining authentic tone and context.Review, edit, and provide feedback on scripts and translated content to align with native English standards.Train and support AI models in audio processing tasks, ensuring that outputs meet native English language benchmarks.Maintain detailed documentation and effective written communication for project tracking and knowledge sharing.Required Skills and Qualifications:Native English language proficiency with exceptional verbal and written communication abilities.Demonstrated expertise in professional audio engineering, including dubbing, voiceover, and audio editing.Strong experience in translation or adaptation of audio scripts, ensuring semantic and tonal accuracy.Advanced proficiency with industry-standard audio editing software and hardware.Proven ability to deliver high-quality work under deadlines and manage multiple projects remotely.Keen attention to detail, creativity, and a collaborative mindset.Experience supporting AI or machine learning initiatives related to audio or language.Preferred Qualifications:Previous work as an AI trainer or in training data annotation for language models.Background in media localization, multilingual dubbing, or voiceover direction.Published audio work or portfolio demonstrating native English expertise and audio craftsmanship.

About Micro1: Job Title: Coding Expert (Multi-Language)Job Type: ContractorLocation: RemoteJob Summary:Join our team as a Coding Expert (Multi-Language) and play a pivotal role in advancing AI-driven technical evaluation. As part of the internal evaluations team at Micro1, you will leverage your deep expertise to review, refine, and enhance coding challenges and solutions, ensuring high standards for technical interview content. This role focuses on improving the quality and accuracy of AI-generated interview materials, making a direct impact on the future of software engineering assessment.Key Responsibilities:Assess, review, and validate multi-language coding challenges and their solutions for technical interviews.Identify and resolve inefficiencies, ensuring all content aligns with best practices in software development.Collaborate with the internal team to elevate the standard of AI-generated interview materials.Provide constructive feedback to enhance code correctness, efficiency, and maintainability.Ensure adherence to clean code principles, robust documentation, and professional coding standards.Contribute to the development, review, and optimization of API integration and data structure implementations.Promote and implement comprehensive testing and quality assurance measures across all content.Required Skills and Qualifications:Proficiency in Python, JavaScript, Typescript, and GoLang.Exceptional knowledge of data structures and algorithms.Strong background in code review, debugging, and software design principles.Extensive experience with version control systems, especially Git.Expertise in API development and integration.Solid grasp of testing methodologies and QA best practices.Commitment to clean code, comprehensive documentation, and continuous improvement.At least 3 years of hands-on software engineering experience.Preferred Qualifications:Previous experience in technical interview content creation or evaluation.Background in AI or machine learning-driven projects.Strong collaboration skills and experience working in distributed teams.