AI Data Specialist - German

About the role

The role of AI Data Specialist for German Content involves a focused contribution to the enhancement and safety of AI-generated language models. You will own the evaluation and refinement of German data to ensure it meets the highest standards of accuracy and relevance. This position requires you to perform detailed annotations and pairwise comparisons of text outputs to shape effective training signals. You will be responsible for counting tasks and organizing content systematically to maintain workflow integrity. A significant portion of your work will involve tagging and labeling various media formats, including audio, video, and image files. It is critical that you track items meticulously throughout the entire creation process to prevent any loss or misplacement between stages. You will conduct rigorous quality checks on labeled data before it is approved for model training, scanning and sorting incoming German requests according to specific processing criteria. This role directly supports the development of AI models that handle German content with precision and safety. By coordinating with reviewers to resolve inconsistencies, you will help maintain clear documentation for all classification and adjustment decisions.

Key facts

What you'll do

• Execute the core tasks and responsibilities outlined for the AI Data Specialist
• German position at Rws as detailed in the official apply page.
• Adhere strictly to the defined scope and guidelines provided
• Evaluate and assess German language data to determine its suitability for use in AI model training and development.
• Perform detailed annotations on text, audio, video, and image files to ensure that all content is accurately labeled and aligned with its intended meaning.
• Conduct pairwise comparisons of alternative text outputs to identify nuances and select the most appropriate training signals for the models.
• Organize and structure content in a logical manner so that tags accurately reflect the intended meaning across diverse media types and use cases.
• Count and track tasks meticulously to maintain workflow continuity and ensure that no items are lost or misplaced between different stages of processing.
• Sort incoming German requests based on specific processing requirements to facilitate efficient handling by the team.
• Coordinate closely with reviewers to resolve any tagging inconsistencies or discrepancies quickly and professionally.
• Maintain comprehensive and clear documentation of all decisions made during the data processing lifecycle, including the reasons for specific classifications or adjustments.
• Support partner teams by preparing reliable and well-organized data to facilitate effective model testing and validation activities.
• Ensure that all German text content is handled with a high degree of safety, accuracy, and attention to detail throughout the entire project lifecycle.
• Contribute to the overall goal of developing safe and reliable AI models by providing high-quality data curation and evaluation support.
• Work independently and proactively manage your time to meet deadlines while adhering to strict documentation and quality guidelines.

Requirements

• Must possess native-level fluency in the German language to accurately evaluate and annotate content.
• Must demonstrate fluent or advanced English proficiency, corresponding to levels B2-C2, to effectively communicate and understand project materials.
• Must be comfortable working with data collection, preprocessing, evaluation, and annotation tasks as required by the project.
• Must have a strong attention to detail to maintain high standards of quality in all deliverables.
• Must be able to track items throughout the entire creation process to prevent loss or misplacement between stages.
• Must be able to perform quality checks on labeled data before it is used for model training.
• Must be able to scan incoming German requests and sort them according to processing requirements.
• Must be able to compare alternative text outputs side by side to help shape training signals for the models.

Nice to have

• Experience in machine learning tasks is preferred but not mandatory for this role.

Practical notes

This is a remote freelance opportunity with no specific mandated tools. You are expected to be comfortable with data collection and labeling practices. The role requires the ability to manage multiple content types, including audio, video, and images. The schedule is designed to accommodate students, part-timers, and stay-at-home parents, requiring more than ten hours per week on a part-time basis. The compensation rate is 18 USD per hour, though rates may vary depending on the applicant's location. Work is performed entirely from home. This opportunity is ideal for individuals seeking steady freelance income while contributing to AI safety. Payments are issued in a timely manner. The position is available immediately.