Transcriber at Appen

Calabarzon, Philippines

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Part TimeJob Type

UnknownVisa

AI, Machine Learning, Speech RecognitionIndustries

Requirements

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
Willingness to work on-site (Bacoor, Cavite)

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

Skills

Transcription

English

Automatic Speech Recognition

ASR

Audio Processing

Quality Control

Linguistics

Appen

Provides high-quality training data for AI

About Appen

Appen provides high-quality training data necessary for developing artificial intelligence (AI) systems, specializing in collecting and labeling data such as images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its global reach and extensive contractor network, allowing it to offer reliable data tailored to client needs. The goal of Appen is to enable organizations to create AI systems that perform various functions, enhancing the overall capabilities of AI technology.

Sydney, AustraliaHeadquarters

1996Year Founded

$358MTotal Funding

IPOCompany Stage

AI & Machine LearningIndustries

10,001+Employees

Benefits

Remote Work Options

Professional Development Budget

Flexible Work Hours

Risks

Increased competition from emerging data annotation startups threatens Appen's market share.

A major contract breach with Google highlights potential client relationship vulnerabilities.

Office closures in Toronto and Bellevue may impact operational capabilities and morale.

Differentiation

Appen specializes in high-quality training data for AI systems.

Appen offers multi-language database development for complex language technology needs.

Appen's Social Instinct platform moderates social media content in multiple languages.

Upsides

Appen raised $50 million to capitalize on generative AI opportunities.

Appen launched a solution for enterprises to customize large language models.

Appen recognized as a leader in data annotation by Everest Group in 2024.

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