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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 growth opportunities.
- Other info: Collaborative culture with a focus on performance and advancement.
- 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 25000 - 35000 £ 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
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.
- 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.
- 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.
AI Data Labeler – Multilingual Audio & Transcription | Remote | London employer: OpsArmy Careers
Contact Detail:
OpsArmy Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Labeler – Multilingual Audio & Transcription | Remote | London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant groups on social media, and attend virtual meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data labeling and transcription. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with audio transcription and data annotation. If you’ve worked on any projects, even personal ones, include them to demonstrate your capabilities.
✨Tip Number 4
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 AI Data Labeler – Multilingual Audio & Transcription | Remote | London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Data Labeler role. Highlight your attention to detail and any relevant experience with audio transcription or data annotation. We want to see how you fit into our team!
Show Off Your Language Skills: Since we're looking for multilingual candidates, be sure to mention your language proficiencies clearly. If you have experience working with any of the required languages, let us know how you've used them in previous roles!
Follow Instructions Carefully: Pay close attention to the application guidelines. We appreciate candidates who can follow detailed instructions, so make sure your application reflects that. It’s a great way to show us you’re detail-oriented right from the start!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details 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 Stuff
Before the interview, make sure you understand the role of an AI Data Labeler inside out. Familiarise yourself with audio transcription, annotation, and the specific guidelines mentioned in the job description. This will help you answer questions confidently and show that you're genuinely interested in the position.
✨Show Off Your Attention to Detail
Since this role requires a strong focus on detail, be prepared to discuss examples from your past experiences where you've demonstrated this skill. Whether it's a project where you had to follow complex instructions or a time you caught an error, having these examples ready will impress the interviewers.
✨Brush Up on Your Language Skills
If you're fluent in one of the required languages, be ready to showcase that during the interview. You might be asked to transcribe a short audio clip or translate something on the spot. Practising this beforehand can give you a leg up and show your proficiency.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the team, the tools they use, or the projects you'll be working on. This not only shows your enthusiasm but also helps you gauge if the company culture and work environment are a good fit for you.