Job Description
Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer) | Remote
Apply here: https://operationsarmy.com/application
Job Summary
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
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)
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
Apply here: https://operationsarmy.com/application
Apply here: https://operationsarmy.com/application
Job Summary
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
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)
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
Apply here: https://operationsarmy.com/application
💡 Quick Summary
Seeking a career-building opportunity? The Data Labeling Specialist position is now open for candidates interested in the Remote Jobs sector. This role in Auckland offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Remote Jobs is a plus.
