Data Labeling Specialist

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.

Languages Needed (at least one required)

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

Key Responsibilities

Core Labeling Responsibilities

• 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

Reviewer / QA Responsibilities (as applicable)

• 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

General Responsibilities

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

Required Qualifications

• 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

Preferred Qualifications

• Bachelors 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)

Skills & Competencies

• 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)

Compensation & Growth

• Opportunities for ongoing work and increased volume based on performance
• Clear growth path from Labeler Reviewer / QA roles

Work Environment

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