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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 advancement opportunities.
- Other info: Collaborative culture with a focus on performance and growth.
- Why this job: Make an impact in the AI field 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:
- 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 employer: OpsArmy
Contact Detail:
OpsArmy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Labeling Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant groups. 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 related to data labeling and AI. 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 previous work in data labeling or transcription. This can really set you apart from other candidates and give us a clear view of your capabilities.
✨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 love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Labeling Specialist
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
Since this role requires a strong focus on detail, prepare examples from your past experiences where you demonstrated this skill. Whether it’s a project where accuracy was crucial or a time you caught an error that others missed, having these stories ready will help you stand out.
✨Familiarise Yourself with Tools
If you have experience with any annotation tools or platforms, be ready to talk about them. If not, do a bit of research on common tools used in data labeling. Showing that you’re proactive and willing to learn can make a great impression.
✨Prepare for Collaboration Questions
As this role involves working with teams, think about times when you collaborated effectively. Be prepared to discuss how you handle feedback and work with others, especially in a remote setting. This will demonstrate your team-oriented mindset, which is key for success in this position.