H-1B1 Singapore Visa Research Scientist Jobs
Research Scientist jobs with H-1B1 Singapore visa sponsorship are accessible without a lottery draw. Singaporean nationals apply directly at the U.S. consulate under the U.S.-Singapore Free Trade Agreement, with a 5,400-visa annual cap that rarely fills. Employers filing for research roles must certify prevailing wages through DOL before your consulate appointment.
Find H-1B1 Singapore Visa Research Scientist JobsOverview
Showing 5 of 627+ Research Scientist jobs
See all 627+ Research Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Scientist roles.
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 627+ H-1B1 Singapore Visa Research Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Research Scientist Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Research Scientist
Translate your credentials into U.S. specialty occupation language
Your NUS or NTU research degree is recognized, but your petition must show the role requires a degree in a specific scientific field. Pull the O*NET profile for Research Scientist and match your degree field to the listed education requirements before applying.
Target employers with existing DOL LCA filing history
Not every lab or biotech firm has filed a Labor Condition Application before. Search Migrate Mate to filter Research Scientist roles by employers with verified H-1B1 visa sponsorship history, which signals they understand the filing process and aren't starting from scratch.
Confirm your employer will file before consular stage
Unlike H-1B visa, H-1B1 visa doesn't require USCIS petition approval before your appointment. Your employer still must get DOL LCA certification first. Nail down their filing timeline during offer negotiation, not after you've scheduled your consulate interview in Singapore.
Verify the role's wage tier using OFLC Wage Search
DOL prevailing wage levels for Research Scientists vary by specialization and geography. Run the OFLC Wage Search using the correct SOC code for your specific discipline so you know which wage level your offer must meet before the LCA is submitted.
Prepare a one-page specialty occupation summary
Consular officers assess whether your Research Scientist role genuinely requires a specialized degree. Draft a concise document linking your job duties to your degree field, citing your publications or lab focus. This supplements your employer's LCA and strengthens your case at the window.
Understand the annual status renewal timeline
H-1B1 Singapore visas are granted in one-year increments with no USCIS petition renewal required if you're renewing at the consulate. Plan your research project cycles around renewal appointments so a delayed consulate slot doesn't interrupt active grant-funded work.
Frequently Asked Questions
Do Research Scientist roles qualify as a specialty occupation for H-1B1 Singapore?
Yes, Research Scientist positions qualify when the role requires a bachelor's degree or higher in a specific scientific discipline such as biology, chemistry, physics, or materials science. Generalist research titles can be harder to qualify if the job description doesn't specify a required degree field, so ensure your offer letter and employer's LCA reflect the exact scientific specialization.
How does H-1B1 Singapore compare to H-1B for Research Scientist roles?
The H-1B1 Singapore route skips the annual lottery and USCIS petition stage entirely, which means a Singaporean Research Scientist can receive approval in weeks rather than waiting through a multi-month USCIS adjudication. The trade-off is that H-1B1 is issued in one-year increments and doesn't carry dual-intent protection, so you'll renew through the consulate annually rather than filing for a multi-year extension.
How can I find Research Scientist employers who already sponsor H-1B1 Singapore visas?
Migrate Mate filters Research Scientist job listings by employers with verified H-1B1 visa sponsorship history, saving you from approaching labs or biotech companies that have no prior LCA filing experience. Employers who've filed before are far more likely to have HR processes and legal counsel already in place, which reduces delays after you receive an offer.
Can my employer start the H-1B1 process before I find a specific lab or project assignment?
The DOL Labor Condition Application must specify a worksite location and a wage that meets prevailing wage for that area, so your employer needs at least a defined role and location before filing. Some research institutions file the LCA with a general department assignment and refine project details later, but the geographic location and job title must be concrete at the time of certification.
What happens to my H-1B1 status if my research grant ends or my project is discontinued?
H-1B1 visa status is tied to your employer and the specific role on your LCA. If your grant ends and the position is eliminated, your status is no longer valid and you have a short grace period before you must leave, change status, or secure a new sponsoring employer. Singaporean researchers in grant-dependent positions should track renewal timelines closely and discuss contingency plans with their employer's legal team.