Data Annotation Project Manager - SIML, ISE
Location
Cupertino, CA | United States
Job description
Do you believe Machine Learning and AI can change the world? Would you like to contribute to the field of generative AI? Want to contribute to transforming how people interact with AI technologies?
The System Intelligence and Machine Learning (SIML) group at Apple is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features for many Apple products (iPhone, iPad, Mac, Apple Watch and even AirPods). Such features as the smart wallpaper on your iPhone Lock Screen, the models that highlight the faces of your loved ones in your Photos app, or input experiences (eg autocorrect, next word prediction, handwriting recognition). We are looking for a talented individual to lead Data Annotation projects and closely collaborate with our R&D partners to drive the end-to-end data annotations projects and help SIML create the next key features for our users!
Key Qualifications
- Exhibits excellent project management, communication, interpersonal, analytical, and organizational skills
- Experience leading data operations powering generative AI models, and/or experience in designing and running operations targeting the collection of human feedback
- Passion for creating phenomenal products and understanding the challenges associated with building datasets for machine learning features; while addressing the challenges of inclusion, bias removal, and fairness
- Proficient in problem-solving and critical thinking, with a focus on innovation and continuous improvement (improving the quality of labels, reducing time to delivery and cost)
- Capacity to multitask and manage multiple projects in parallel while meeting deadlines, and maintaining clear and effective communication with stakeholders
- Understanding of applied machine learning concepts
Description
Our SIML Data team focuses on data acquisition, data science, annotation and data QA. We utilize generative AI tools to help generate and evaluate data. Each year, we power dozens of features and work closely with ML teams across the entire company. Apple's commitment to deliver incredible experiences to a global and diverse set of users in full respect of their privacy leads our team to explore innovative data annotation processes.
This role is responsible for overseeing the entire annotation process, from conceptualization to completion, and ensuring that the data delivered to R&D meets Apple's meticulous quality standards. This includes:
- Collaborate with R&D partners to fully understand their data needs and requirements
- Participate in the selection of assets to be included in the dataset, define necessary tooling, and establish the annotation workflow, platform, and crowd to be used
- Integrate ML models (including generative) into annotation workflows to automate or reduce the cost of projects
- Establish guidelines and training material, as well as determine a range for time per task
- Work closely with privacy, legal, procurement, and product security
- Fully scope project, determining the timeline for completion, the overall cost, and account for any potential obstacles that may arise
- Calibrate the task with the vendor and track and report on quantities and quality delivered
Education & Experience
Bachelors degree in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience.
Additional Requirements
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $44.57 and $74.33/hr, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Our SIML Data team focuses on data acquisition, data science, annotation and data QA. We utilize generative AI tools to help generate and evaluate data. Each year, we power dozens of features and work closely with ML teams across the entire company. Apple's commitment to deliver incredible experiences to a global and diverse set of users in full respect of their privacy leads our team to explore innovative data annotation processes.
This role is responsible for overseeing the entire annotation process, from conceptualization to completion, and ensuring that the data delivered to R&D meets Apple's meticulous quality standards. This includes:
- Collaborate with R&D partners to fully understand their data needs and requirements
- Participate in the selection of assets to be included in the dataset, define necessary tooling, and establish the annotation workflow, platform, and crowd to be used
- Integrate ML models (including generative) into annotation workflows to automate or reduce the cost of projects
- Establish guidelines and training material, as well as determine a range for time per task
- Work closely with privacy, legal, procurement, and product security
- Fully scope project, determining the timeline for completion, the overall cost, and account for any potential obstacles that may arise
- Calibrate the task with the vendor and track and report on quantities and quality delivered
Bachelors degree in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience.
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