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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 growth opportunities.
- Other info: Collaborative culture with a focus on performance and advancement.
- Why this job: Make an impact in AI while working with diverse languages and data.
- Qualifications: Fluency in at least one required language and strong attention to detail.
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 employer: OpsArmy
Contact Detail:
OpsArmy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Labeler – Multilingual Audio & Transcription
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant online communities, and don’t be shy about asking for advice or referrals. We all know someone who knows someone, so leverage those connections!
✨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 the process.
✨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 and take the initiative to connect directly with us.
We think you need these skills to ace AI Data Labeler – Multilingual Audio & Transcription
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're applying for the AI Data Labeler role, make sure to highlight your attention to detail. We want to see how you can follow complex instructions and maintain accuracy, so share examples from your past experiences that demonstrate this skill.
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 how your skills align with what we're looking for.
Be Clear and Concise: In your written application, clarity is key. Use straightforward language and avoid jargon. We appreciate candidates who can communicate effectively, especially since you'll be working with detailed guidelines and collaborating with a remote team.
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 shows us you’re serious about joining our team!
How to prepare for a job interview at OpsArmy
✨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.
✨Practice Your Language Skills
If you're applying for a multilingual position, brush up on your language skills before the interview. You might be asked to demonstrate your fluency or even transcribe a short audio clip during the interview. Being prepared will showcase your capabilities and give you an edge.
✨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 shows that you're not just interested in the job but also in how you can contribute to the team's success.