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- Tasks: Label and annotate audio data to support AI and machine learning projects.
- Company: Join a fully remote, innovative team focused on cutting-edge technology.
- Benefits: Flexible work environment with opportunities for growth and ongoing training.
- Other info: Dynamic role with clear paths for advancement from Labeler to Reviewer.
- Why this job: Make an impact in the AI field while working with diverse languages and data.
- Qualifications: Fluency in at least one language and strong attention to detail required.
The predicted salary is between 30000 - 40000 £ per year.
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
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 elevate 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 to Reviewer / QA roles
Work Environment
- Fully remote, globally distributed team
- Structured workflows with ongoing training and support
- Performance‑driven culture with opportunities for advancement
Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer) | London employer: OpsArmy Careers
Contact Detail:
OpsArmy Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer) | London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or other platforms. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by practising common questions related to data labeling and AI. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! If you’ve done any relevant projects or have experience with audio transcription, make sure to highlight that in conversations. Bring examples to interviews to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Labeling Specialist (Multilingual Audio – Labeler & Reviewer) | London
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're writing your application, make sure to highlight your attention to detail. We love candidates who can follow complex instructions and maintain accuracy, so give us examples of how you've done this in the past!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Data Labeling Specialist role. Mention your experience with audio transcription or any relevant skills that match our job description.
Be Clear and Concise: We appreciate clarity! Make sure your written communication is straightforward and easy to understand. Avoid jargon unless it’s relevant to the role, and keep your sentences short and to the point.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at OpsArmy Careers
✨Know Your Data
Before the interview, brush up on your understanding of data labeling and audio transcription. Familiarise yourself with common terminology and processes in machine learning and AI. This will show that you’re not just interested in the role but also understand its significance.
✨Showcase Your Attention to Detail
Prepare examples from your past experiences where your attention to detail made a difference. Whether it’s catching errors in data or following complex instructions, be ready to discuss how you ensure accuracy in your work.
✨Practice Your Language Skills
Since this role requires multilingual capabilities, practice speaking and transcribing in the languages you’ll be working with. Be prepared to demonstrate your fluency and comprehension during the interview, especially if they ask you to transcribe a short audio clip.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project workflows, and quality assurance processes. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your work style.