At a Glance
- 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 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 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:
- 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 in Manchester employer: OpsArmy
As a Data Labeling Specialist with our company, you will join a fully remote, globally distributed team that values precision and collaboration. We offer a performance-driven culture with clear growth paths from labeling to reviewer roles, ensuring that your contributions are recognised and rewarded. With ongoing training and support, you'll have the opportunity to enhance your skills while working on meaningful AI initiatives in a structured environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Labeling Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks 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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Labeling Specialist in Manchester
Some tips for your application 🫡
Show Off Your Attention to Detail:When applying for the Data Labeling Specialist role, 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 previous roles.
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. We want to see how your skills align with our needs, especially in audio transcription and data annotation.
Be Clear and Concise:In your written application, clarity is key. Use straightforward language and structure your thoughts well. We appreciate candidates who can communicate effectively, especially since you'll be collaborating with a remote team.
Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed! It’s the easiest way for us to keep track of your application and ensure it reaches the right people.
How to prepare for a job interview at OpsArmy
✨Know Your Data
Before the interview, brush up on your understanding of data labeling and annotation. Familiarise yourself with the specific guidelines mentioned in the job description. Being able to discuss how you would approach audio transcription or annotation tasks will show that you're serious about the role.
✨Showcase Your Attention to Detail
Prepare examples from your past experiences where your attention to detail made a difference. Whether it was catching errors in data or ensuring accuracy in a project, having concrete examples ready will demonstrate your capability to meet the high standards expected in this role.
✨Practice Your Language Skills
Since the role requires multilingual capabilities, make sure to practice speaking and writing in the required languages. You might be asked to demonstrate your fluency during the interview, so being prepared to discuss your language skills confidently can set you apart.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and ability to follow complex instructions. Think about how you would handle ambiguous data or maintain quality under tight deadlines. This will help you articulate your thought process clearly during the interview.
