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AIML - Data Collections Moderator, Data Operations

Apple

AIML - Data Collections Moderator, Data Operations

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible PTO policy

Wellness benefits

Health, dental, and vision coverage

Remote work flexibility

Learning and development stipend

Required Skills

Apache Spark

SQL

PyTorch

About the Role

You are a vital part of the AIML Data Collections team. You will have the opportunity to coordinate with project managers to support vital data collections from both internal and external participants to design, train and test our machine learning models.

You are someone who LOVES data and is never-endlessly curious about how it makes our products better. You love working closely with people AND leveraging and troubleshooting technology.

You will work as a key member of the data collections team supporting both in-lab and vendor-based projects.

Responsibilities

  • Support collections projects including setting up internal and external labs, devices and apps, recruiting and managing participants, moderating sessions and running scripts to verify data and ensure quality
  • Provide status, reporting and feedback to Project Managers and client teams for collections
  • Recruit, onboard and coach team members (ACAs and DCMs) for internal projects
  • Contribute to cross-team initiatives or special projects, such as maintaining key inventories
  • Troubleshooting devices, enabling technical device setups, and writing or modifying basic scripts

Minimum Qualifications

  • Bachelor of Science or equivalent degree
  • 5 years experience working with people in a professional environment
  • Proven ability to resolve basic technical issues with different Apple hardware and software. Aptitude for setup and troubleshooting of devices and software builds
  • Expertise navigating systems and tools, sharing best practices with team members

Preferred Qualifications

  • Love Data! Be a real people person!
  • Thrive in a fast paced environment and maintain a good working relationship with key project stakeholders
  • Communicate issues proactively across teams and demonstrate flexibility and adaptability to changing workflows and processes
  • Demonstrate a professional attitude at all times while providing project support
  • Have a high degree of resourcefulness, flexibility, creative decision-making, and problem-solving abilities
  • Proven attention to detail and critical thinking skills, demonstrating integrity and focus on customer privacy

Equal Opportunity

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit