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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: Shape the future of design with cutting-edge AI tools and be part of a creative community.
- Qualifications: Experience in managing data annotation projects and basic Python skills required.
- Other info: Join a fast-growing company with over 3 million users worldwide!
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 employer: Recraft
Contact Detail:
Recraft Recruiting Team
careers@recraft.ai
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotation Manager
✨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 preparing and managing data.
✨Tip Number 3
Network with professionals in the AI and data annotation fields. Engaging with others can provide insights into best practices and may even lead to referrals that could boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with quality control and assurance processes during the interview. Highlighting specific examples of how you've ensured data quality in past projects will demonstrate your capability for this role.
We think you need these skills to ace Data Annotation Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in managing data annotation projects and using crowdsourcing platforms. Emphasise any proficiency with Python scripting and quality assurance processes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and creativity. Mention specific experiences that demonstrate your ability to create clear annotation guidelines and train annotators effectively.
Showcase Your Technical Skills: Include examples of your basic Python programming skills in your application. If you have worked on similar projects, describe how you used scripting to automate tasks or manage data.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, mention any past experiences where you collaborated with different departments to achieve project goals. This will show your ability to work well in a team environment.
How to prepare for a job interview at Recraft
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Annotation Manager. Familiarise yourself with data annotation processes, crowdsourcing platforms, and the importance of quality assurance in data management.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python scripting and how you've used it in previous roles. Highlight any specific projects where you automated tasks or improved workflows through coding.
✨Prepare Clear Examples
Think of specific examples from your past work that demonstrate your ability to create effective annotation guidelines and train teams. Be ready to explain how you ensured consistency and quality in annotated data.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve project goals.
