As an Annotation and Collection Analyst, you will have the opportunity to coordinate cross-functionally with a variety of engineering teams, project managers and participants from internal and external sources to collect data used for Machine Learning models, evaluation, training and testing, utilizing your language and cultural expertise. For annotations, you’ll leverage your annotation expertise to provide quality, procedural and tools guidance on key projects. You will help develop high quality data to build, test and fix machine learned models, as well as review and follow complex guidelines and protocols in a fast paced environment. Aptitude for setup and troubleshooting of hardware devices and software builds Knowledge of Machine Learning data annotation process, related tools and software Proven expertise navigating systems and tools, sharing best practices with team members Previous experience working with language data (e.g. research, analysis) Proven attention to detail and critical thinking skills, demonstrating integrity and focus on customer privacy Demonstrates flexibility and adaptability to changing work-flows and processes Ability to identify business process solutions to increase efficiencies Ability to work independently and within a team environment Knack for acquiring technical skills, an eagerness to learn and to take on new challenges One year experience in data annotation/labelling or linguistics/translation knowledge and experience with Data Collection Bachelors degree in engineering or a linguistics field, or equivalent work experience Experience in manual testing of software and logging of test results Experience in project management and Machine Learning Language skills including strong grammar and cultural awareness