Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer)

We are seeking detail-oriented and reliable Data Labeling Specialists to support our machine learning and AI initiatives, with a focus on audio transcription, annotation, and voice data collection.

In this role, you will be responsible for accurately labeling, categorizing, and annotating data to help train and improve machine learning models. Based on experience and performance, individuals may also take on Reviewer (QA) responsibilities to ensure data quality and consistency across the team.

The ideal candidate has strong attention to detail, can follow detailed guidelines, and is comfortable working with large volumes of data in a structured environment.

• Mandarin
• Cantonese
• Korean
• Vietnamese
• Italian
• British English

• →Label and annotate data such as audio, text, images, or video according to provided guidelines
• →Transcribe audio recordings with high accuracy, including speaker changes and timestamps (when required)
• →Ensure high accuracy and consistency in all data labeling tasks
• →Follow project-specific instructions, taxonomies, and annotation rules
• →Identify and flag ambiguous, unclear, or low-quality data for review
• →Meet productivity and accuracy targets within assigned deadlines

• →Review and validate labeled data to meet quality standards
• →Provide clear, actionable feedback to improve labeling accuracy
• →Identify trends in errors and escalate issues to team leads
• →Support calibration and training efforts to maintain consistency across labelers

• →Collaborate with team leads, QA teams, and AI/ML engineers when needed
• →Maintain data confidentiality and comply with security and privacy policies

• Native or near-native fluency in at least one listed language
• Strong attention to detail and ability to follow complex instructions
• Strong listening and comprehension skills, especially for audio-based tasks
• Basic computer skills and familiarity with web-based tools
• Ability to work independently with minimal supervision
• Strong written communication skills in English sufficient to follow detailed instructions and collaborate with a remote team
• Ability to handle repetitive tasks while maintaining accuracy

• Bachelor's degree preferred
• Previous experience in data labeling, transcription, annotation, or QA roles
• Experience working with audio transcription or voice-related data
• Familiarity with AI, machine learning, or NLP concepts
• Experience using annotation tools or platforms
• Multilingual capabilities beyond one required language
• Experience reviewing or auditing work (for QA/reviewer track)

• Excellent focus and precision
• Time management and organizational skills
• Analytical thinking and problem-solving
• Adaptability to changing guidelines and workflows
• Strong collaboration and team-oriented mindset
• Ability to provide and receive constructive feedback (for reviewer track)

• Fully remote, globally distributed team
• Structured workflows with ongoing training and support
• Performance-driven culture with opportunities for advancement