Human Factors Engineer, AIML Data Operations

Apple Inc

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Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$263,300 / yr
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $219k

$127k $278k

below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $141,800–$241,750 — the blue band above. At the midpoint, this role pays about $219k versus about $192k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3532 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2761 roles with salary data.

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At a glance

TL;DR · Human Factors Engineer, AIML Data Operations

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JOB TITLE: Human Factors Engineer, AIML Data Operations The Human Factors Engineer, AIML Data Operations joins a global data annotation and collection initiative responsible for delivering high-quality, human-annotated machine learning data for consumer software and hardware experiences. In this role, you will optimize software products and annotation workflows for a global operations team by researching human performance and designing solutions for users with diverse languages, cultures, and abilities. You will collaborate with design teams, data scientists, and machine learning engineers to improve analyst tools and annotation workflows. Key requirements include expertise in mixed-methods human factors research, qualitative and quantitative experimental design, and statistical data analysis. Technical skills include proficiency in SQL, Python, or R Studio, along with experience in human-in-the-loop evaluation, data annotation workflows, and AI/LLM model development.

Skills

Human-Computer Interaction Human-in-the-loop SQL Python R Studio LLM Data Annotation Statistical Data Analysis UX Design AI Machine Learning Experimental Design

What you'll do

Optimize software products and annotation workflows for the global annotation operations team.
Research human performance to design solutions for users with diverse languages, cultures, and abilities.
Conduct mixed-methods human factors research to evaluate user interface designs.
Design and execute qualitative and quantitative experiments to test human-in-the-loop systems.
Analyze data to improve the performance of machine learning and LLM models.
Develop highly-usable and performant interfaces in collaboration with UX designers and software engineers.
Validate AI-generated output and develop skills in composing prompts for AI tools.

What we're looking for

MS or PhD in Computer Science, Human-Computer Interaction, or an equivalent degree.
3+ years of experience in mixed-methods human factors research, specifically evaluating user interface designs.
Expertise in qualitative and quantitative experimental design, statistical data analysis, and reporting.
Excellent listening, communication, and interview skills for individual and focus group settings.
Experience with human-in-the-loop evaluation, data annotation workflows, or AI/LLM model development.
Published research in human-in-the-loop model evaluation, data annotation workflows, or human-AI interaction (preferred).
Proficiency in data exploration and analysis tools such as SQL, Python, or R Studio (preferred).
Experience using AI tools for prompt composing, skill development, and validating AI-generated output (preferred).

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