Transcriber

About Appen  Appen has been a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world's leading AI models. Our end-to-end platform, deep expertise, and scalable human-in-the-loop services enable AI innovators to build and optimize cutting-edge models.  We specialize in creating bespoke, human-generated data to train, fine-tune, and evaluate AI models across multiple domains, including generative AI, large language models (LLMs), computer vision, speech recognition, and more. Our solutions support critical AI functions such as supervised fine-tuning, reinforcement learning with human feedback (RLHF), model evaluation, and bias mitigation.  Our advanced AI-assisted data annotation platform, combined with a global crowd of more than 1M contributors in over 200 countries, ensures the delivery of accurate and diverse datasets. Our commitment to quality, scalability, and ethical AI practices makes Appen a trusted partner for enterprises aiming to develop and deploy effective AI solutions.  At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions. We support work-life balance with flexible work arrangements and a dynamic, results-driven environment. Employees have access to competitive pay, comprehensive benefits, and opportunities for continuous learning and career growth.   Our team works closely with the world’s top technology companies and enterprises, tackling exciting challenges and shaping the future of artificial intelligence.  Job Overview: We are seeking a skilled and detail-oriented Transcriber to support the project focused on English Automatic Speech Recognition (ASR) quality control. This role requires strong linguistic capabilities, technical adaptability, and a commitment to delivering accurate and consistent audio transcriptions. Key Responsibilities:

Rapidly acquire proficiency in project-specific annotation standards and transcription tools and adapt effectively to ongoing rule updates.

Perform high-quality transcription and annotation of diverse English audio materials in accordance with established guidelines.

Review, proofread, and refine annotated texts to ensure accuracy, clarity, and consistency.

Maintain efficient and proactive communication with the project team to ensure alignment on requirements and updates.

Qualifications & Requirements:

Education & Skills: Strong academic or practical foundation in Linguistics, Audio Engineering, Broadcasting/Hosting, Film/Television Production, Computer Science, or related Science and Engineering disciplines.

Practical experience and relevant competencies in audio annotation, transcription, translation, or sound editing are preferred.

Advanced English proficiency (CEFR Level C1 or higher) in listening, speaking, reading, and writing

Ability to understand, follow, and apply complex guidelines. High attention to detail and accuracy

Passion for technology, storytelling, and/or gaming

Fast learner, comfortable using digital tools and platforms

Candidates must demonstrate a willingness to work on-site (Bacoor, Cavite).