AI Data Specialist - Armenian

About the Role

The success of AI models depends on the quality of the data used to train them. As an AI Data Specialist, you will play a critical role in ensuring that the data used to improve AI-generated content in Armenian is accurate, relevant, and unbiased. Your work will involve performing diverse data-related tasks, including data collection, evaluation, and annotation, as well as pairwise comparisons, counting tasks, and object tagging and labeling.

RWS Group is a company that values diversity, equity, and inclusion, and is committed to creating a work environment that is free from discrimination and harassment. As a freelancer, you will be working with a global team of professionals who share your passion for AI and data, and who are dedicated to shaping the future of AI models.

What You Will Do

• Collect and evaluate data to support the development of AI-generated content in Armenian
• Perform pairwise comparisons to assess the quality of data
• Conduct counting tasks to ensure data accuracy
• Tag and label objects in various content types, including audio, video, images, and collected data
• Work with a global team of professionals to support the development of AI models
• Provide feedback and insights to improve data quality and annotation processes
• Participate in training and development opportunities to enhance your skills and knowledge
• Collaborate with other freelancers and teams to achieve project goals
• Utilize digital tools and platforms to manage and annotate data

What We Are Looking For

• Native-level fluency in Armenian
• Fluent or advanced proficiency in English (levels B2–C2)
• Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a global team
• Excellent communication and collaboration skills
• Familiarity with digital tools and platforms for data management and annotation
• Ability to commit to a minimum of 10 hours per week

Nice to Have

• Experience working with AI-generated content
• Knowledge of data annotation and labeling best practices
• Familiarity with machine learning models and algorithms
• Experience working in a remote or freelance setting
• Certification in data science or a related field

Benefits and Perks

• Flexible schedule and remote work arrangement
• Opportunity to earn extra income
• Timely payments and competitive hourly rate
• Collaboration with a global team of professionals
• Opportunity to develop and enhance your skills and knowledge
• Access to digital tools and platforms for data management and annotation
• Work with a company that values diversity, equity, and inclusion
• Opportunity to shape the future of AI models and contribute to the development of AI-generated content in Armenian

• Be prepared to provide examples of your experience working with data collection, evaluation, and annotation, and highlight your analytical and problem-solving skills.
• Familiarize yourself with digital tools and platforms for data management and annotation, such as data labeling software and collaboration platforms.
• Showcase your ability to work independently and as part of a global team, and demonstrate your excellent communication and collaboration skills.
• Be aware of the evolving landscape of AI regulation and the importance of data quality in shaping the future of AI models, and be prepared to discuss your thoughts on these topics.
• Consider creating a portfolio of your work, including examples of your data annotation and labeling projects, to demonstrate your skills and experience to potential employers.
• Don't be afraid to ask about the company culture and values, and how they support freelancers and remote workers, to ensure that you are working with a company that aligns with your own values and goals.