H-1B1 Singapore Visa Research Jobs
H-1B1 Singapore visa sponsorship opens a direct path for Singaporean research professionals into U.S. labs, universities, and R&D centers. No lottery, no USCIS petition, and the 5,400-visa annual cap rarely fills, so qualified candidates with a specialty-occupation research role can move faster than H-1B visa applicants.
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Get Access To All JobsAbout The Team
Safety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm.
The Work Of This Research Taskforce Spans Four Pillars
- Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being.
- Adversarial & Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas.
- System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve.
- Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress.
About The Role
We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap.
In this role, you will
- Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.
- Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI.
- Create automated tools and infrastructure to scale automated red‑teaming and stress testing.
- Conduct research on failure modes of alignment techniques and propose improvements.
- Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk.
- Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes.
- Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work.
You might thrive in this role if you
- Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter.
- Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields.
- Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses.
- Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure.
- Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations.
- Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy.
- Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required).
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
Safety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm.
The Work Of This Research Taskforce Spans Four Pillars
- Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being.
- Adversarial & Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas.
- System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve.
- Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress.
About The Role
We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap.
In this role, you will
- Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.
- Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI.
- Create automated tools and infrastructure to scale automated red‑teaming and stress testing.
- Conduct research on failure modes of alignment techniques and propose improvements.
- Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk.
- Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes.
- Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work.
You might thrive in this role if you
- Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter.
- Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields.
- Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses.
- Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure.
- Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations.
- Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy.
- Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required).
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 801+ H-1B1 Singapore Visa Research Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Research Jobs.
Get Access To All JobsTips for Finding Research Jobs
Verify your research role qualifies
Cross-check your position's O*NET occupation profile to confirm it requires at least a bachelor's degree in a specific field. Roles like 'research associate' can fail if the posting doesn't mandate a field-specific degree.
Pull the prevailing wage before negotiating
Run your research job title and work location through the OFLC Wage Search before you discuss compensation. Your employer's LCA must certify a wage at or above that figure, so knowing it prevents offers that can't legally clear.
Target employers with active LCA filing history
Search for H-1B1 Singapore sponsorship jobs on Migrate Mate, which surfaces employers with verified DOL Labor Condition Application filings for research roles, so you're targeting companies that have already navigated the process.
Prepare credential documentation for specialty-occupation scrutiny
Consular officers assess specialty occupation directly at your interview. Gather your NUS or NTU transcripts, a detailed employer letter linking your degree field to the research duties, and any credential evaluations if your discipline is interdisciplinary.
Confirm your employer files the LCA before your DS-160
The LCA must be DOL-certified before you submit your DS-160 or attend your consular interview. Ask your hiring team for the LCA case number so you're not scheduling an interview against an incomplete filing.
Plan your re-entry window for annual renewal
H-1B1 Singapore visas are granted in one-year increments and don't carry dual intent. Coordinate your renewal timeline with your employer so your consular appointment lands before your current status expires, avoiding a gap that interrupts ongoing research contracts.
Frequently Asked Questions
Do research employers in the U.S. know how to sponsor H-1B1 Singapore visas?
Many research employers, including universities and federal contractors, are familiar with H-1B1 Singapore sponsorship because the process is simpler than H-1B. There's no USCIS petition and no lottery. The employer files a Labor Condition Application with DOL, you attend a consular interview in Singapore, and the visa is issued directly. Use Migrate Mate to find employers with active LCA filing history for research roles.
How does the H-1B1 Singapore visa compare to H-1B for research professionals?
The H-1B1 Singapore visa skips the lottery entirely and is processed at the U.S. Embassy in Singapore rather than through USCIS, so your offer-to-visa timeline is weeks rather than months. The trade-off is that H-1B1 doesn't carry dual intent, meaning you can't simultaneously pursue a green card while on this status the way some H-1B holders can.
What documents does a Singaporean researcher need for the H-1B1 consular interview?
You'll need your certified LCA from DOL, a support letter from your employer detailing how your research duties require your specific degree field, your academic transcripts, your passport valid for at least six months beyond your intended entry date, and a completed DS-160. If your research involves a specialized subfield, bring published work or credentials that demonstrate subject-matter depth.
Can a research role on a postdoctoral or grant-funded contract qualify for H-1B1 Singapore sponsorship?
Yes, provided the position requires a bachelor's degree or higher in a directly related field and the employing institution can certify the prevailing wage on the LCA. Short-term grant-funded roles are trickier because the LCA must cover the period of employment, and one-year H-1B1 visa increments may not align cleanly with multi-year grant cycles. Confirm the funding timeline with your employer before filing.
How do I find U.S. research employers actively willing to sponsor H-1B1 Singapore visas?
Migrate Mate filters job listings by employers with verified DOL Labor Condition Application filings, so you can see which research institutions and R&D companies have sponsored the H-1B1 Singapore visa for roles matching your background. This removes the guesswork of cold-applying to employers who may be unfamiliar with the process.