Machine Learning Data Annotator

3 days ago

Prague, Hlavní město Praha, Czech Republic Filevine Full time €40,000 - €60,000 per year
Filevine 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 Filevine to the forefront of our field—we are ranked as one of the most innovative and fastest-growing technology companies in the country by both Deloitte and Inc
Our Mission Filevine is building the seamless intersection between legal and business by creating a world- class platform to help professionals scale
Role Summary:
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 Responsibilities Annotate and label data for machine learning projects Ensure high-quality and accurate annotations Collaborate with the team of machine learning engineers and researchers to improve annotation processes Maintain confidentiality of sensitive information Qualifications Interest in AI and data-driven work Strong attention to detail and ability to follow guidelines precisely Excellent communication and collaboration skills Ability to work independently and manage time effectively Proficiency in English (both written and verbal) Familiarity with basic computer operation Prior annotation experience is a plus 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
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