Hebrew Language Specialist (France-based)
WFA Digital Insight
The demand for language specialists in AI development has surged, with a 25% increase in job postings over the past year. As companies like Perle Systems advance global language models, skilled professionals with native-level fluency are in high demand. Perle Systems stands out for its commitment to cultural precision and accuracy in AI. Before applying, candidates should know that native-level Hebrew fluency and residency in France are required, and a background in linguistics or a related field is highly preferred. With the remote work market booming, this role offers a unique chance to shape the future of AI and work with a cutting-edge company.
Job Description
About the Role
The Hebrew Language Specialist role at Perle Systems is a unique opportunity to contribute to the development of global language models. As a core member of the team, you will be responsible for evaluating and improving the quality of linguistic data in Hebrew, ensuring that the AI models are trained with cultural precision, accuracy, and human understanding. The role entails working closely with the AI development team to identify and address linguistic issues, providing feedback and reporting on trends and improvements. Your expertise in Hebrew will be invaluable in shaping the future of AI and its applications. As a Language Specialist, you will be part of a team that is passionate about language and technology, and is committed to advancing the field of AI.What You Will Do
- Accurately evaluate and annotate large volumes of text and audio data in Hebrew for linguistic quality, accuracy, clarity, and cultural appropriateness.
- Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing.
- Ensure that the linguistic data adheres to project-specific guidelines and high-quality standards.
- Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance.
- Collaborate with the development team to implement changes and improvements to the language models.
- Develop and maintain a deep understanding of the linguistic and cultural nuances of the Hebrew language.
- Stay up-to-date with the latest developments in AI, NLP, and language technology.
- Participate in team meetings and discussions to share knowledge and expertise.
- Contribute to the development of best practices and guidelines for linguistic data evaluation and annotation.
What We Are Looking For
- Native-level fluency in Hebrew, with a strong understanding of the language's syntax, semantics, and cultural context.
- Bachelor's degree from an accredited institution, with a preferred background in Linguistics, Hebrew Language Studies, Translation, or a related field.
- Proven experience in evaluating and improving linguistic data, with a strong attention to detail and analytical skills.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong understanding of AI, NLP, and language technology, with a willingness to learn and adapt to new technologies.
- Ability to work independently and manage multiple tasks and projects simultaneously.
- Strong problem-solving skills, with the ability to analyze complex linguistic issues and develop creative solutions.
- Experience with data annotation and evaluation tools, with a willingness to learn new tools and technologies.
Nice to Have
- Experience working with AI and NLP projects, with a deep understanding of the latest developments and trends in the field.
- Knowledge of other languages, particularly those relevant to the AI project, such as Arabic, English, or French.
- Experience with machine learning and deep learning models, with a willingness to learn and adapt to new technologies.
- Familiarity with Agile development methodologies and version control systems, such as Git.
Benefits and Perks
- Competitive salary and benefits package, with a focus on supporting the well-being and growth of our employees.
- Opportunity to work with a cutting-edge company at the forefront of AI and NLP development.
- Collaborative and dynamic work environment, with a team of passionate and experienced professionals.
- Flexible and remote work arrangements, with the ability to work from anywhere and manage your own schedule.
- Professional development opportunities, with access to training, workshops, and conferences to support your growth and career advancement.
- Access to the latest technologies and tools, with a willingness to invest in new and innovative solutions.
- Recognition and rewards for outstanding performance, with a focus on acknowledging and celebrating the achievements of our employees.
How to Stand Out
- Develop a strong understanding of AI and NLP concepts, including language models, machine learning, and deep learning, to increase your chances of standing out in the application process.
- Create a portfolio of your work, including examples of your linguistic data evaluation and annotation experience, to demonstrate your skills and expertise to potential employers.
- Prepare to discuss your experience with data annotation and evaluation tools, including your ability to learn and adapt to new technologies, in your interviews.
- Emphasize your attention to detail and analytical skills, as these are critical components of the Hebrew Language Specialist role, and be prepared to provide examples of how you have applied these skills in previous roles.
- Research the company and the AI project, including the latest developments and trends in the field, to demonstrate your interest and enthusiasm for the role and the company.
- Be prepared to discuss your experience working with cross-functional teams, including your ability to communicate and collaborate effectively with developers, engineers, and other stakeholders.
- Consider highlighting your knowledge of other languages, particularly those relevant to the AI project, as this can be a valuable asset in the application process.
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