AIML - Annotation and Collection Analyst

Apple • Austin, TX

17h • Onsite

About The Position

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.
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.

Requirements

• 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

Nice To Haves

• One year experience in data annotation and previous DCM experience
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level