At a Glance
- Tasks: Engage in exciting linguistic projects like transcription, annotation, and content creation.
- Company: Join Sigma.AI, a global leader in AI data collection and annotation.
- Benefits: Collaborative work environment with opportunities for personal and professional growth.
- Other info: Dynamic team atmosphere with a focus on empathy and collaboration.
- Why this job: Be part of innovative AI solutions and make a real impact.
- Qualifications: Native Hungarian speaker, fluent in English, and basic computer skills required.
The predicted salary is between 24300 - 29700 £ per year.
Join Sigma.AI – Shaping the Future of Artificial Intelligence. Sigma is a leading global technology company specialized in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 200 languages, we support top multinational clients in developing cutting-edge AI solutions.
Soft skills we value: Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning? If so, we’d love to hear from you!
What will you do? As part of our linguistic projects, your responsibilities may include:
- Categorization
- Annotation
- Correction
- Transcription
- Evaluation
- Conversational interactions
- Voice recording
- Content creation
- Localization
- Validation of audio, video, images, sentences, or words
Requirements: We are looking for candidates with the following qualifications:
- Native or bilingual in Hungarian – Able to listen and write correctly without spelling mistakes
- Fluent in English – Able to interact efficiently in the office environment
- Basic computer skills
- Preferred (but not mandatory): Experience in data annotation or content rating
- Strong attention to detail
How to Apply: If you’re interested, click "Apply for this job" and follow the instructions. Check your inbox and spam folder, just in case!
Important Notes: Sigma.AI does not hire through third parties. No agents’ intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect, the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma’s satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate. The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance, the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.
Need Help? We’re here for any questions or concerns. Join us and be part of something global, innovative, and impactful. Sigma.AI – Data done right.
Hungarian Linguistic Projects (On-site London) employer: Sigma Group
Sigma AI is an exceptional employer, offering a vibrant work culture in the heart of Madrid, where diversity thrives with over a thousand team members from more than 100 countries. Employees benefit from a collaborative environment that fosters personal and professional growth, alongside opportunities to engage with cutting-edge AI projects for multinational clients. Join us to be part of a dynamic team that values proactivity, empathy, and integrity, ensuring a rewarding experience for both candidates and recruiters alike.
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We think this is how you could land Hungarian Linguistic Projects (On-site London)
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We think you need these skills to ace Hungarian Linguistic Projects (On-site London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
