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- Tasks: Manage data annotation projects and ensure quality control using crowdsourcing platforms.
- Company: Recraft is an innovative AI tool for designers, revolutionising image generation since 2022.
- Benefits: Enjoy professional growth, a collaborative environment, and impactful projects in AI creativity.
- Why this job: Join a cutting-edge team shaping the future of design with AI and make a real impact.
- Qualifications: Experience in managing data annotation projects and basic Python skills required.
- Other info: Submit your CV and cover letter to join our mission at Recraft!
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!
Job Description
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.
Requirements
- 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.
What We Offer
- 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.
How to Apply
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!
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Data Annotation Architect Engineering London, UK employer: Recraft, Inc.
Contact Detail:
Recraft, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotation Architect Engineering London, UK
✨Tip Number 1
Familiarise yourself with popular crowdsourcing platforms like Amazon Mechanical Turk, 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 preparing and managing data for annotation.
✨Tip Number 3
Develop a portfolio showcasing your experience in managing data annotation projects. Highlight specific examples where you created clear guidelines or improved quality control processes, as this will demonstrate your capability to potential employers.
✨Tip Number 4
Network with professionals in the AI and data annotation fields. Engaging with others in the industry can provide insights into best practices and may even lead to referrals for job opportunities at Recraft.
We think you need these skills to ace Data Annotation Architect Engineering London, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Annotation Architect position. Understand the key responsibilities and requirements, especially the need for experience with crowdsourcing platforms and basic Python skills.
Tailor Your CV: Customise your CV to highlight relevant experience in managing data annotation projects. Emphasise your proficiency with crowdsourcing platforms and any Python scripting skills you possess. Use specific examples to demonstrate your capabilities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and creativity. Explain why you are interested in Recraft and how your background aligns with their mission. Be sure to mention your experience with quality control and training annotators.
Proofread Your Application: Before submitting, carefully proofread both your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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 and marketers. This will help you align your answers with their goals and demonstrate your genuine interest in the company.
✨Showcase Your Data Annotation Experience
Be prepared to discuss your previous experience managing data annotation projects. Highlight specific examples where you successfully used crowdsourcing platforms like MTurk or Toloka, and explain how you ensured quality control and effective training for annotators.
✨Demonstrate Your Python Skills
Since basic Python scripting is a requirement for this role, be ready to talk about your programming experience. You might even want to prepare a simple script example that showcases your ability to manipulate and prepare data, as this could come up during technical discussions.
✨Prepare Questions for the Interviewers
Having thoughtful questions ready shows your enthusiasm and engagement. Ask about the team dynamics, the types of projects you would be working on, or how they measure the success of their annotation processes. This not only helps you gather information but also leaves a positive impression.
