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- Tasks: Annotate data with precision and collaborate with a dynamic team.
- Company: Join Appen, a leader in AI enablement and innovation.
- Benefits: Entry-level role with training, growth opportunities, and a supportive environment.
- Other info: Inclusive workplace with a learn-it-all culture.
- Why this job: Be part of shaping the future of AI while gaining valuable experience.
- Qualifications: Detail-oriented individuals; no prior experience needed.
The predicted salary is between 20000 - 25000 £ per year.
About Appen
Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies.
Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We are seeking Annotator to join an onsite team responsible for producing high-quality labeled data across multiple content types. This is an entry-level position ideal for individuals who are detail oriented, enjoy structured processes, and are comfortable working with text, audio, video, and multimodal inputs. No previous experience is required. If you’re good at repetitive tasks, learn fast, and have strong attention to detail, even if you are a student or someone seeking your first job, we encourage you to apply.
Key Responsibilities
- Perform data annotation following detailed guidelines, schemas, and quality standards.
- Participate in structured training sessions, calibration exercises, and regular quality reviews.
- Complete self-reviews and peer reviews to ensure accuracy and consistency.
- Provide constructive feedback to help refine annotation guidelines.
- Participate in ad hoc data collection activities.
- Collaborate closely with the Annotation Coordinator and team members to meet project timelines and deliverables.
Qualifications
- Previous annotation experience is beneficial but not required.
- Strong attention to detail and ability to follow structured processes.
- Comfortable working with various content types (text, audio, video, multimodal).
- Willingness to participate in both live and recorded data collection scenarios.
- Ability to work onsite fulltime at the client location in Cambridge.
Annotator (Onsite Client Location) employer: Appen Limited
Contact Detail:
Appen Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Annotator (Onsite Client Location)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Appen. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by practising common questions related to data annotation. Think about how your attention to detail and ability to follow structured processes can shine through in your answers.
✨Tip Number 3
Show off your skills! If you have any relevant projects or experiences, even if they’re from school, bring them up during interviews. It’s all about demonstrating your capability and enthusiasm 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 by the right people. Plus, it shows you’re serious about joining the Appen team!
We think you need these skills to ace Annotator (Onsite Client Location)
Some tips for your application 🫡
Show Your Attention to Detail: When you're filling out your application, make sure to highlight your attention to detail. This role is all about precision, so give examples of how you've demonstrated this skill in the past, even if it's from school projects or personal experiences.
Follow the Guidelines: Just like in the job, following structured processes is key in your application too! Make sure you read through the application instructions carefully and provide all the required information. We love it when candidates pay attention to the details!
Be Yourself: We want to get to know the real you! Don’t be afraid to let your personality shine through in your application. Share your interests and what excites you about working with AI and data annotation. It helps us see if you’re a good fit for our team culture.
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 ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Appen Limited
✨Know the Company Inside Out
Before your interview, take some time to research Appen and its role in AI enablement. Understand their mission, values, and the specific projects they’re involved in. This will not only help you answer questions more effectively but also show your genuine interest in the company.
✨Showcase Your Attention to Detail
As an Annotator, attention to detail is key. During the interview, be prepared to discuss examples from your past experiences where you demonstrated this skill. Whether it’s a school project or a personal endeavour, highlight how you ensured accuracy and consistency in your work.
✨Familiarise Yourself with Data Annotation
Even if you don’t have direct experience, it’s beneficial to understand what data annotation involves. Look up common practices, tools, and types of data that are annotated. This knowledge will help you engage in meaningful conversations during the interview and show that you’re proactive.
✨Prepare for Team Collaboration Questions
Since the role involves working closely with others, be ready to discuss your teamwork experiences. Think of times when you collaborated on a project, how you communicated with team members, and how you handled feedback. This will demonstrate your ability to work well in a team-oriented environment.