H-1B1 Singapore Visa Research Engineer Jobs
Research Engineer jobs with H-1B1 Singapore visa sponsorship don't require a lottery entry or USCIS petition filing. Singaporean nationals apply directly at the U.S. consulate under the U.S.-Singapore Free Trade Agreement, with an annual cap of 5,400 visas that has never come close to filling.
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Get Access To All JobsAbout The Team
Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes:
- Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems.
- Mitigation. Keeping misalignment safeguards, alignment tools, and on track to adequately address extreme threats that might arise in the future.
- Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework, and partnering with other staff to achieve these targets.
This is urgent, fast-paced work that has far-reaching implications for the company and for society.
About The Role
Preparedness is hiring strong technical executors to support preparations for accelerated AI development, which may culminate in recursive self-improvement. This work relies on anticipating misalignment risks that might exist in the future, but might not exist now; so it’s especially important that people in this role are tasteful and strategic. The role is wide-ranging, covering any mitigation for loss of control risk, spanning the design and implementation of better pre-deployment risk-assessment, control measures, RSI-relevant training interventions, and turning one’s technical work into established institutional practices and external-facing communications.
Below Is a Subset Of Our Focus Areas
- Scalable oversight: Establishing practices for model misbehavior monitoring and oversight which remain effective in superhuman model capability regimes, with a focus on bridging from today’s monitoring approaches to future-proof ones.
- Automated auditing: As model capabilities increase, we’ll increasingly rely on automated approaches for finding the most severe forms of model misalignments. We’ll both need to sift through large swaths of production traffic to find the most egregious misalignments, and reliably elicit tail risks before deployment.
- Rigorous monitorability: Rigorous testing and red-teaming of our measurements of model misbehavior related to loss-of-control (e.g. reward hacking, sandbagging, scheming). This includes better understanding monitorability, and e.g. preparing for potential losses of Chain-of-Thought monitorability.
- Model behavior science: Design experiments and evaluations to understand the extent to which models are problematically misaligned, or their safety-relevant capabilities lag behind dangerous capabilities. This may include training model organisms of misbehavior for behaviors not currently present in production, or training interventions to increase safety-relevant capabilities.
- Coordination and verification: Prototype technical mechanisms for verifying compliance with potential future AI safety agreements.
- AI R&D risk measurement: Track progress toward automation of technical staff to inform OpenAI’s near-term investments in alignment and security.
- Maintaining and strengthening RSI safety cases: We’re especially interested in identifying and addressing blindspots of mitigation areas which we may have missed. Generally, our team alternates between performing rigorous hypothesis-driven research and turning our insights into interventions or control systems which impact production models, with occasional support of engineering teams.
In This Role, You Will
- Carefully consider the problems OpenAI might face in the future and how to prepare for them.
- Turn an open-ended objective like “prepare for future misalignment threats” into a much more concrete direction (e.g. “stress-test monitors for scheming”) – prioritizing the work that is most useful to start right now.
- Execute quickly, building scrappy prototypes, and then improving them iteratively until they become established components of our safety pipelines.
- Secure buy-in from other staff at OpenAI when necessary, and communicate your work clearly.
- Collaborate with or manage other staff as needed, since we might need to rapidly scale to tackle these problems quickly.
You Might Thrive In This Role If You
- Are an exceptional technical executor.
- Have strong strategic and research taste: you can prioritize effectively in domains with weak feedback loops.
- Are passionate about mitigating the risks associated with recursive self-improvement.
- Are driven by a desire to do whatever work most positively impacts the future of AI development.
- Bonus: you have already done work in one of the domains listed above (ML research, AI alignment, AI verification etc).
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $295K - $445K
About The Team
Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes:
- Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems.
- Mitigation. Keeping misalignment safeguards, alignment tools, and on track to adequately address extreme threats that might arise in the future.
- Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework, and partnering with other staff to achieve these targets.
This is urgent, fast-paced work that has far-reaching implications for the company and for society.
About The Role
Preparedness is hiring strong technical executors to support preparations for accelerated AI development, which may culminate in recursive self-improvement. This work relies on anticipating misalignment risks that might exist in the future, but might not exist now; so it’s especially important that people in this role are tasteful and strategic. The role is wide-ranging, covering any mitigation for loss of control risk, spanning the design and implementation of better pre-deployment risk-assessment, control measures, RSI-relevant training interventions, and turning one’s technical work into established institutional practices and external-facing communications.
Below Is a Subset Of Our Focus Areas
- Scalable oversight: Establishing practices for model misbehavior monitoring and oversight which remain effective in superhuman model capability regimes, with a focus on bridging from today’s monitoring approaches to future-proof ones.
- Automated auditing: As model capabilities increase, we’ll increasingly rely on automated approaches for finding the most severe forms of model misalignments. We’ll both need to sift through large swaths of production traffic to find the most egregious misalignments, and reliably elicit tail risks before deployment.
- Rigorous monitorability: Rigorous testing and red-teaming of our measurements of model misbehavior related to loss-of-control (e.g. reward hacking, sandbagging, scheming). This includes better understanding monitorability, and e.g. preparing for potential losses of Chain-of-Thought monitorability.
- Model behavior science: Design experiments and evaluations to understand the extent to which models are problematically misaligned, or their safety-relevant capabilities lag behind dangerous capabilities. This may include training model organisms of misbehavior for behaviors not currently present in production, or training interventions to increase safety-relevant capabilities.
- Coordination and verification: Prototype technical mechanisms for verifying compliance with potential future AI safety agreements.
- AI R&D risk measurement: Track progress toward automation of technical staff to inform OpenAI’s near-term investments in alignment and security.
- Maintaining and strengthening RSI safety cases: We’re especially interested in identifying and addressing blindspots of mitigation areas which we may have missed. Generally, our team alternates between performing rigorous hypothesis-driven research and turning our insights into interventions or control systems which impact production models, with occasional support of engineering teams.
In This Role, You Will
- Carefully consider the problems OpenAI might face in the future and how to prepare for them.
- Turn an open-ended objective like “prepare for future misalignment threats” into a much more concrete direction (e.g. “stress-test monitors for scheming”) – prioritizing the work that is most useful to start right now.
- Execute quickly, building scrappy prototypes, and then improving them iteratively until they become established components of our safety pipelines.
- Secure buy-in from other staff at OpenAI when necessary, and communicate your work clearly.
- Collaborate with or manage other staff as needed, since we might need to rapidly scale to tackle these problems quickly.
You Might Thrive In This Role If You
- Are an exceptional technical executor.
- Have strong strategic and research taste: you can prioritize effectively in domains with weak feedback loops.
- Are passionate about mitigating the risks associated with recursive self-improvement.
- Are driven by a desire to do whatever work most positively impacts the future of AI development.
- Bonus: you have already done work in one of the domains listed above (ML research, AI alignment, AI verification etc).
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $295K - $445K
See all 2,504+ H-1B1 Singapore Visa Research Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Research Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Research Engineer
Align your degree field to the role
H-1B1 visa requires a specialty occupation with a directly related degree. For Research Engineer roles, ensure your transcript language maps to your target subdomain, whether that's materials science, electrical engineering, or computer science, not just a general engineering degree.
Target employers with active LCA filings
Search Migrate Mate to find companies that have already filed Labor Condition Applications for Research Engineer roles. Employers with LCA history have cleared the DOL process before and are far more likely to move quickly on an H-1B1 visa offer.
Run the OFLC Wage Search before negotiating
Your employer must pay at least the prevailing wage for your specific role and location. Pull the OFLC Wage Search figures for your SOC code and metropolitan area before entering salary discussions so you know the DOL floor your offer must clear.
Verify your employer's E-Verify enrollment early
H-1B1 visa employers must be enrolled in E-Verify. Confirm this status before you invest time in interviews. Companies without enrollment can't legally sponsor you, and adding it mid-hiring process often stalls or kills the offer entirely.
Get your LCA certified before scheduling the consulate
Your employer files the Labor Condition Application with DOL and must receive certification before you can apply for the H-1B1 visa. DOL certifies most LCAs within seven business days, but schedule your U.S. consulate appointment only after certification is confirmed.
Prepare a research portfolio that maps to O*NET
Consular officers assess whether your role qualifies as a specialty occupation. Review the O*NET profile for Research Engineers and frame your project descriptions, publications, and lab experience to directly reflect the theoretical and applied knowledge requirements listed there.
Frequently Asked Questions
Does a Research Engineer role qualify as a specialty occupation for H-1B1 Singapore?
Yes, Research Engineer roles typically qualify because they require at least a bachelor's degree in a specific technical field such as electrical engineering, materials science, or computer science. The employer must demonstrate the role's duties require that specialized degree. Reviewing the O*NET occupation profile for Research Engineers before your interview helps confirm alignment between your credentials and the position's requirements.
How does H-1B1 Singapore differ from H-1B for Research Engineer positions?
H-1B1 Singapore skips the lottery entirely and is processed at the U.S. consulate rather than through USCIS. The annual cap is 5,400 for Singaporeans and has never been exhausted. The trade-off is that H-1B visa1 doesn't allow dual intent, meaning you can't simultaneously pursue permanent residency while on H-1B1 status, which H-1B holders can do.
How do I find employers who will sponsor H-1B1 Singapore visas for Research Engineer jobs?
Search Migrate Mate to identify employers with verified Labor Condition Application filing history for Research Engineer roles. Companies that have filed LCAs before already understand the DOL certification process and are more likely to proceed with an H-1B1 visa offer. Cold outreach to research divisions at companies with no LCA history typically stalls at the HR approval stage.
Can I switch Research Engineer employers while on H-1B1 Singapore status?
Yes, but unlike H-1B portability, you can't start working for the new employer before the new H-1B1 visa is approved. Your new employer must file a fresh Labor Condition Application with DOL and you'll need a new consular stamp. Build a buffer of at least two to three months when planning a job change to avoid a status gap.
What documents should I bring to the U.S. consulate for an H-1B1 Research Engineer interview?
Bring your certified Labor Condition Application, offer letter specifying the Research Engineer role and salary, degree transcripts and certificates showing your qualifying field, and any publications or patents that demonstrate specialty knowledge. Consular officers may ask how your academic background directly applies to the specific research duties in your offer letter, so prepare concrete examples.