AIML Data Operations - Annotation and Collection Analyst

Join Apple’s AIML (Artificial Intelligence and Machine Learning) Data Operations team at the forefront of advancing technology, within one of the world’s most diverse and inclusive environments. Here, visionary minds from varied backgrounds collaborate to transform groundbreaking ideas into revolutionary products and services that are redefining industries; such as the iconic Siri, which continues to innovate the interaction between people and machines. The AIML Data Operations team focuses on delivering high quality annotated data that contributes directly to the development of Apple’s products and services. Our team is comprised of individuals who are fueled by creativity, thrive on diverse perspectives and have a passion for delivering results. If you’re passionate about AIML and enjoy working within a fast-paced, nimble environment as part of a larger team, then imagine the impact you could make in AIML where new insights and ideas become extraordinary realities, enriching lives and leaving the world better than we found it! As an Annotation and Collection Analyst, you will demonstrate active listening, integrity and acute attention to detail. You will bring passion and dedication to your job. There's no telling what you could accomplish. The role is an office based position.

Description

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.

Minimum Qualifications
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

Preferred Qualifications
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


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