Electronics H-1B1 Singapore Sponsorship Jobs in Colorado
H-1B1 Singapore visa sponsorship jobs in Colorado's electronics sector are concentrated around the Denver metro, Boulder, and Colorado Springs, where companies like Lam Research, Arrow Electronics, and Keysight Technologies hire semiconductor, hardware, and embedded systems professionals. Singapore nationals benefit from the H-1B1's reserved annual allocation and no lottery requirement, making Colorado's growing electronics corridor a practical target.
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Get Access To All JobsWe are seeking a highly motivated and analytical AI Experience Researcher to join our team. This role blends cognitive and human sciences, data sciences, systems design, and product evaluation to ensure AI-powered products deliver exceptional and intuitive customer experiences.
You will work alongside a small but impactful team, collaborating with ML and data scientists, software engineers, designers, project managers, and other cross-functional teams at Apple to define success criteria for AI experiences, and create rigorous evaluations that measure these criteria in iterative product development cycles. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day.
Description
The central challenge of this role is figuring out what "good" means for an AI experience, and then designing rigorous evaluations that measure those qualities reliably and at scale. This requires both deep theoretical grounding in human experience and a solid analytical mindset to operationalize that understanding into scalable evaluation frameworks.
Leaning on research in human sciences, you will decompose complex AI interactions into their constituent parts, reason about how those parts interact, and build evaluation frameworks that hold up under the scrutiny of non-deterministic nature of AI experiences and the pressures of iterative product development. You will derive experimental designs, create golden data sets, write tests, and turn them into prompts for LLM judges or instructions for human raters. You will run automated evaluations, analyze results, and present findings to diverse stakeholders.
Candidates who bring both quantitative rigor and a qualitative sensibility - to recognize patterns in model behaviors and outputs, and to develop an interpretive understanding of what the data is and isn't capturing from a human perspective - will thrive in this role. What matters most is the ability to hold both orientations at once - to think carefully about what makes an experience work, and to measure complex human dimensions with precision. We are also looking for someone who is excited to co-create what this discipline looks like going forward - bringing intellectual curiosity and a point of view about where human-centered AI evaluation should be headed.
Responsibilities
- Develop scalable automated evaluation methodologies by operationalizing complex multi-modal multi-turn AI experiences into observable and measurable metrics that work across diverse use cases, features, or product area
- Produce comprehensive evaluation plans detailing evaluation scope, validation and data strategy, tooling requirements, resource allocation, and timelines
- Derive experimental designs and write test instructions for LLM judges or for human raters
- Define requirements for, or curate datasets that represent realistic usage; support data generation and annotation workflows to ensure coverage, quality, and alignment with product goals
- Implement and analyze automated evaluations, maintaining rigor around reproducibility, identifying key insights, and areas for improvement across both qualitative and quantitative patterns
- Prepare and present clear, concise, and impactful evaluation findings to diverse stakeholders, translating results into actionable recommendations for model training, ranking, and product decisions
- Partner with engineers, QA, data scientists, designers, and product managers throughout the product development lifecycle to integrate evaluation insights and drive continuous improvement
- Contribute to evolving human-centered AI evaluation methodologies and help to define best practices for AI experience evaluation as the field matures
Minimum Qualifications
Advanced degree in Cognitive Psychology, Human-Computer Interaction (HCI), User Experience (UX) Research, Learning Sciences, Learning Analytics, Psychometrics, Applied Behavioral Science, or a related field with a focus on human cognition, behavior, and empirical evaluation
A strong data-driven mindset with experience designing and conducting rigorous empirical research or evaluation - including experimental design, data analysis, and interpretation of various qualitative and quantitative data - particularly in the context of complex human-system interactions
Ability to reason from theoretical grounding about what makes an experience good in a given context, and to translate that reasoning into evaluation frameworks and measurement designs
Demonstrated ability to operationalize research literature, qualitative user feedback, and quantitative behavioral data into actionable evaluation criteria, observable metrics, and product insights
Proficiency in data analysis and interpretation, with a strong understanding of statistical validity in evaluation contexts
Exceptional collaboration skills with a track record of working effectively in cross-functional teams that include engineering, ML, design, QA, leadership, and subject matter experts of diverse domains
Strong communication skills, with the ability to translate complex research findings and evaluation results into clear, actionable recommendations for both technical and non-technical audiences
Preferred Qualifications
Familiarity with methods for capturing experiential quality beyond task success - such as cognitive interviews, think-aloud protocols, interaction analysis, or discourse and conversation analysis
Experience designing and implementing automated evaluation pipelines, including writing prompts for LLM judges and constructing human-in-the-loop or multi-turn evaluation setups
Experience working with multimodal or agentic systems, AI/ML models, preferably Large Language Models
Familiarity with automated testing frameworks and tooling
Experience with data generation and annotation workflows, including curating datasets, scenarios, and tasks that represent realistic usage
Portfolio demonstrating previous evaluation frameworks, research findings, or measurable contributions to product improvement
Background in learning sciences or instructional design, with experience reasoning about what makes a complex human experience effective is a plus
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 $134,800 and $245,800, 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.
We are seeking a highly motivated and analytical AI Experience Researcher to join our team. This role blends cognitive and human sciences, data sciences, systems design, and product evaluation to ensure AI-powered products deliver exceptional and intuitive customer experiences.
You will work alongside a small but impactful team, collaborating with ML and data scientists, software engineers, designers, project managers, and other cross-functional teams at Apple to define success criteria for AI experiences, and create rigorous evaluations that measure these criteria in iterative product development cycles. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day.
Description
The central challenge of this role is figuring out what "good" means for an AI experience, and then designing rigorous evaluations that measure those qualities reliably and at scale. This requires both deep theoretical grounding in human experience and a solid analytical mindset to operationalize that understanding into scalable evaluation frameworks.
Leaning on research in human sciences, you will decompose complex AI interactions into their constituent parts, reason about how those parts interact, and build evaluation frameworks that hold up under the scrutiny of non-deterministic nature of AI experiences and the pressures of iterative product development. You will derive experimental designs, create golden data sets, write tests, and turn them into prompts for LLM judges or instructions for human raters. You will run automated evaluations, analyze results, and present findings to diverse stakeholders.
Candidates who bring both quantitative rigor and a qualitative sensibility - to recognize patterns in model behaviors and outputs, and to develop an interpretive understanding of what the data is and isn't capturing from a human perspective - will thrive in this role. What matters most is the ability to hold both orientations at once - to think carefully about what makes an experience work, and to measure complex human dimensions with precision. We are also looking for someone who is excited to co-create what this discipline looks like going forward - bringing intellectual curiosity and a point of view about where human-centered AI evaluation should be headed.
Responsibilities
- Develop scalable automated evaluation methodologies by operationalizing complex multi-modal multi-turn AI experiences into observable and measurable metrics that work across diverse use cases, features, or product area
- Produce comprehensive evaluation plans detailing evaluation scope, validation and data strategy, tooling requirements, resource allocation, and timelines
- Derive experimental designs and write test instructions for LLM judges or for human raters
- Define requirements for, or curate datasets that represent realistic usage; support data generation and annotation workflows to ensure coverage, quality, and alignment with product goals
- Implement and analyze automated evaluations, maintaining rigor around reproducibility, identifying key insights, and areas for improvement across both qualitative and quantitative patterns
- Prepare and present clear, concise, and impactful evaluation findings to diverse stakeholders, translating results into actionable recommendations for model training, ranking, and product decisions
- Partner with engineers, QA, data scientists, designers, and product managers throughout the product development lifecycle to integrate evaluation insights and drive continuous improvement
- Contribute to evolving human-centered AI evaluation methodologies and help to define best practices for AI experience evaluation as the field matures
Minimum Qualifications
Advanced degree in Cognitive Psychology, Human-Computer Interaction (HCI), User Experience (UX) Research, Learning Sciences, Learning Analytics, Psychometrics, Applied Behavioral Science, or a related field with a focus on human cognition, behavior, and empirical evaluation
A strong data-driven mindset with experience designing and conducting rigorous empirical research or evaluation - including experimental design, data analysis, and interpretation of various qualitative and quantitative data - particularly in the context of complex human-system interactions
Ability to reason from theoretical grounding about what makes an experience good in a given context, and to translate that reasoning into evaluation frameworks and measurement designs
Demonstrated ability to operationalize research literature, qualitative user feedback, and quantitative behavioral data into actionable evaluation criteria, observable metrics, and product insights
Proficiency in data analysis and interpretation, with a strong understanding of statistical validity in evaluation contexts
Exceptional collaboration skills with a track record of working effectively in cross-functional teams that include engineering, ML, design, QA, leadership, and subject matter experts of diverse domains
Strong communication skills, with the ability to translate complex research findings and evaluation results into clear, actionable recommendations for both technical and non-technical audiences
Preferred Qualifications
Familiarity with methods for capturing experiential quality beyond task success - such as cognitive interviews, think-aloud protocols, interaction analysis, or discourse and conversation analysis
Experience designing and implementing automated evaluation pipelines, including writing prompts for LLM judges and constructing human-in-the-loop or multi-turn evaluation setups
Experience working with multimodal or agentic systems, AI/ML models, preferably Large Language Models
Familiarity with automated testing frameworks and tooling
Experience with data generation and annotation workflows, including curating datasets, scenarios, and tasks that represent realistic usage
Portfolio demonstrating previous evaluation frameworks, research findings, or measurable contributions to product improvement
Background in learning sciences or instructional design, with experience reasoning about what makes a complex human experience effective is a plus
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 $134,800 and $245,800, 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.
Electronics Job Roles in Colorado
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Search Electronics Jobs in ColoradoElectronics Jobs in Colorado: Frequently Asked Questions
Which electronics companies in Colorado sponsor H-1B1 Singapore visas?
Colorado's electronics sector includes established sponsors such as Arrow Electronics, Lam Research, Keysight Technologies, and Ball Aerospace, along with semiconductor firms and hardware startups in the Denver and Boulder corridors. These employers have filed Labor Condition Applications for specialty occupation roles. Checking DOL LCA disclosure data by company and occupation code gives the clearest picture of which employers have active H-1B1 Singapore sponsorship history.
Which cities in Colorado have the most electronics H-1B1 Singapore sponsorship jobs?
Denver and its surrounding suburbs hold the highest concentration of electronics employer sponsorship activity in Colorado, driven by corporate headquarters and regional offices in the tech and defense hardware space. Boulder attracts hardware startups and semiconductor research roles. Colorado Springs is a notable secondary market, particularly for defense electronics and embedded systems firms tied to the military installations there.
What types of electronics roles typically qualify for H-1B1 Singapore sponsorship?
Roles that qualify as specialty occupations under the H-1B1 visa Singapore category include hardware design engineers, embedded systems engineers, semiconductor process engineers, RF and signal integrity engineers, and electronics test engineers. Each position must require at least a bachelor's degree in a directly related technical field such as electrical engineering, electronics engineering, or computer engineering. O*NET occupation profiles can help verify whether a specific role meets the specialty occupation standard.
How do I find electronics H-1B1 Singapore sponsorship jobs in Colorado?
Migrate Mate surfaces electronics roles in Colorado filtered specifically for H-1B1 Singapore visa sponsorship, using DOL Labor Condition Application filing history to show which employers have sponsored the visa category. This lets Singapore nationals focus on companies with a verified track record rather than applying broadly and confirming sponsorship willingness later. You can filter by city, occupation, and employer size to match your target role.
Are there any Colorado-specific considerations for H-1B1 Singapore sponsorship in electronics?
Colorado's electronics employers with federal defense contracts are subject to facility security clearance requirements, which can restrict certain roles to U.S. persons regardless of visa status. Outside defense, Colorado has no state-level restrictions on H-1B1 Singapore sponsorship. Employers filing an LCA must post wage notices at the Colorado worksite and pay the DOL prevailing wage for the relevant occupation and location, which you can verify through the OFLC Wage Search tool.
What is the prevailing wage for H-1B1 Singapore electronics jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.