At a Glance
- Tasks: Label and annotate audio data to support AI and machine learning projects.
- Company: Join a dynamic, fully remote team focused on innovative AI solutions.
- Benefits: Flexible remote work, ongoing training, and clear career advancement opportunities.
- Other info: Collaborate with a global team and enjoy a structured workflow.
- Why this job: Make an impact in the AI field while honing your attention to detail.
- Qualifications: Fluency in at least one language and strong focus on accuracy 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
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 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.
AI Data Labeler – Multilingual Audio & Transcription | Remote | London employer: OpsArmy Careers
Join a dynamic and fully remote team that values precision and collaboration in the exciting field of AI and machine learning. As an AI Data Labeler, you'll benefit from structured workflows, ongoing training, and clear pathways for career advancement, all while working in a performance-driven culture that recognises and rewards your contributions. With opportunities to grow into Reviewer roles and the flexibility of remote work, this position offers a meaningful and rewarding employment experience in the heart of London’s tech landscape.
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 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
Practice your interview skills! Mock interviews with friends or using online resources can help you feel more confident. Remember, it’s all about showcasing your attention to detail and ability to follow instructions.
✨Tip Number 3
Tailor your approach! When you find a job that excites you, make sure to highlight your relevant skills and experiences. Show how your background in data labeling or transcription makes you the perfect fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our team!
We think you need these skills to ace AI Data Labeler – Multilingual Audio & Transcription | Remote | 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 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 role. Mention your experience with audio transcription or data labeling, and how it aligns with what we’re looking for.
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 through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role you’re interested in!
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 you worked on or a task you completed, highlight how your attention to detail made a difference in the outcome.
✨Practice Your Transcription Skills
If you have the chance, practice transcribing audio recordings before the interview. This will not only sharpen your skills but also give you a feel for the kind of work you'll be doing. You can even bring up your practice experience during the interview to showcase your proactive approach.
✨Be Ready for Teamwork Questions
Collaboration is key in this role, so expect questions about how you work with others. Think of examples where you've successfully collaborated with a team, especially in remote settings. Emphasise your communication skills and how you handle feedback, as these are crucial for maintaining quality in data labeling.
