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- Tasks: Lead data annotation projects and manage external annotators for AI image generation.
- Company: Recraft is an innovative AI tool for designers, revolutionising image creation since 2022.
- Benefits: Enjoy professional growth, a collaborative environment, and impactful projects in AI creativity.
- Why this job: Join a dynamic team shaping the future of creativity with cutting-edge AI technology.
- Qualifications: Experience in managing data annotation projects and basic Python scripting skills required.
- Other info: Be part of a global community with over 3 million users across 200 countries.
The predicted salary is between 36000 - 60000 £ per year.
Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we’re just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you’re passionate about pushing the boundaries of AI, we want you on board!
We are seeking a Data Annotation Manager to oversee and streamline our data annotation processes. The successful candidate will manage annotation tasks utilizing crowdsourcing platforms and coordinate external annotators. You will be responsible for creating clear annotation guidelines, training annotators, ensuring annotation quality, and performing quality assurance. This role requires collaboration with cross-functional teams and involves basic scripting tasks using Python for data preparation and management.
Key Responsibilities- Manage end-to-end data annotation projects using crowdsourcing platforms (e.g., MTurk, Toloka, Clickworker).
- Develop clear and comprehensive annotation instructions and documentation.
- Train annotators to ensure consistency and quality of annotated data.
- Perform quality control and quality assurance on annotation outputs.
- Collaborate with internal teams to define annotation requirements and expectations.
- Use basic Python scripting to prepare data, automate routine tasks, and support annotation workflows.
- Track annotation project timelines, progress, and resource allocation.
- Proven experience managing data annotation projects.
- Demonstrated proficiency with crowdsourcing platforms (Amazon Mechanical Turk, Toloka, Clickworker, or similar).
- Ability to create clear and effective annotation instructions and training materials.
- Basic Python programming skills (ability to write simple scripts for data manipulation and preparation).
- Experience in data quality control and quality assurance procedures.
- Opportunities for professional growth and development.
- A collaborative and user-focused work environment.
- The chance to shape the future of AI-powered creativity through research.
- Exciting projects where your insights will directly impact product development.
Interested candidates should submit their CV and a cover letter to careers@recraft.ai. Please include the position name in the subject line. Join Recraft and help shape the future of AI-powered graphic design through groundbreaking research and development!
Data Annotation Manager Engineering London, UK employer: Recraft, Inc.
Contact Detail:
Recraft, Inc. Recruiting Team
careers@recraft.ai
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotation Manager Engineering London, UK
✨Tip Number 1
Familiarise yourself with popular crowdsourcing platforms like MTurk, Toloka, and Clickworker. Understanding how these platforms operate will give you an edge in managing data annotation projects effectively.
✨Tip Number 2
Brush up on your Python skills, especially for basic scripting tasks. Being able to write simple scripts for data manipulation can significantly enhance your efficiency in the role.
✨Tip Number 3
Prepare to discuss your experience with quality control and assurance processes during the interview. Highlight specific examples where you've successfully managed annotation quality in previous projects.
✨Tip Number 4
Showcase your ability to create clear and effective training materials. Think of ways to present your past experiences in developing guidelines or instructions that improved the consistency of annotated data.
We think you need these skills to ace Data Annotation Manager Engineering London, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Annotation Manager position. Familiarise yourself with data annotation processes and the tools mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in managing data annotation projects and using crowdsourcing platforms. Emphasise your proficiency in Python and any quality control procedures you've implemented in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and creativity. Discuss how your skills align with Recraft's mission and how you can contribute to their innovative projects. Be specific about your experience with training annotators and ensuring data quality.
Follow Application Instructions: When submitting your application, ensure you include 'Data Annotation Manager' in the subject line of your email. Double-check that your CV and cover letter are attached and formatted correctly before sending them to careers@recraft.ai.
How to prepare for a job interview at Recraft, Inc.
✨Understand the Company and Its Mission
Before your interview, take some time to research Recraft and its mission. Familiarise yourself with their AI tools and how they aim to support designers. This will help you align your answers with their goals and demonstrate your genuine interest in the company.
✨Showcase Your Project Management Skills
As a Data Annotation Manager, you'll need to manage multiple projects simultaneously. Be prepared to discuss your experience with crowdsourcing platforms and how you've successfully overseen data annotation projects in the past. Use specific examples to illustrate your skills.
✨Prepare for Technical Questions
Since the role involves basic Python scripting, brush up on your programming skills. Be ready to answer questions about how you've used Python for data manipulation or automation in previous roles. You might even be asked to solve a simple problem during the interview.
✨Emphasise Quality Control Experience
Quality assurance is crucial in data annotation. Be prepared to discuss your experience with quality control processes and how you've ensured the accuracy and consistency of annotated data. Highlight any specific methodologies or tools you've used in the past.
