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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, ongoing training, and clear career progression.
- Other info: Opportunities for growth from Labeler to Reviewer roles.
- Why this job: Make an impact in the AI field while working with diverse languages.
- Qualifications: Fluency in at least one required language and strong attention to detail.
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 audio transcription. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 3
Showcase your skills! If you have experience with annotation tools or have done any relevant projects, make sure to highlight them during interviews. We love seeing practical examples of your work!
✨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’re always looking for passionate individuals to join our team!
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 share 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 match the job description. Mention your experience with audio transcription or data labeling, and let us know why you’re excited about this role.
Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where possible to break down your skills and experiences, especially those relevant to the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at OpsArmy Careers
✨Know Your Languages
Make sure you brush up on your language skills, especially if you're applying for a multilingual role. Be prepared to demonstrate your fluency in the required languages during the interview, as this is crucial for a Data Labeling Specialist.
✨Familiarise Yourself with Data Labeling Tools
Before the interview, take some time to explore common data labeling and annotation tools. Being able to discuss your experience or familiarity with these platforms will show that you're proactive and ready to hit the ground running.
✨Showcase Your Attention to Detail
Since this role requires strong attention to detail, prepare examples from your past experiences where you successfully followed complex instructions or maintained high accuracy in your work. This will help demonstrate that you have what it takes to excel in this position.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills and ability to handle ambiguous data. Think of scenarios where you had to identify errors or provide feedback, and be ready to explain how you approached those situations.