Machine Learning Data Annotator

Nimbus Data Systems is forging the future of legal work with cloud-based workflow tools. We have a reputation for intuitive, streamlined technology that helps professionals manage their organization and serve their clients better. We’re also known for our team of extraordinary and passionate professionals who love working together to help organizations thrive. Our success has catapulted Nimbus Data Systems to the forefront of our field - we are ranked as one of the most innovative and fastest-growing technology companies in the United States by both Deloitte and Inc. Our Mission is building the seamless intersection between legal and business by creating a world-class platform to help professionals scale.We're looking for a machine learning data annotator to help us improve our AI driven products. By joining our team, you'll have the opportunity to work on exciting challenges and contribute to our mission of pushing the boundaries of what's possible in this field. An AI model is only as good as the data it was trained on and you will be at the core of the process. If you're eager to learn and grow, we'd love to have you on board! Key Responsibilities Annotate and label data in accordance with project-specific annotation definitions and guidelines Ensure annotation accuracy, consistency, and adherence to the defined scope Apply an appropriate level of detail when labeling structured data, text spans, or bounding boxes Identify and flag ambiguities, edge cases, and data quality issues Flag cases that require clarification or further context Collaborate with machine learning engineers to optimize annotation specifications and workflows Adapt to guideline updates and iterative task refinements Maintain confidentiality of sensitive and proprietary data Requirements: Strong interest in machine learning, AI, and data-driven work Strong attention to detail and ability to follow guidelines precisely Ability to make consistent judgments when working with ambiguous data Comfortable communicating and collaborating in a team environment Ability to work independently and manage time efficiently Proficiency in English, both written and spoken Prior experience with data annotation or related technical tasks is highly desirable Flexible Cooperation Options We offer flexibility in terms of cooperation. This role is a full-time position (around 40 hours per week). Ideal for students available for a full-time or fresh graduates looking to start their career in annotations and Data analysis roles. We’d love to connect This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction.