← Back to jobs

Researcher, Safety Training, National Security

openai

San Francisco
Scrum Master

Job Score

80 pts
On-site model (+70) Scrum Master (+10)

About the Team

The Safety Training research team aims to fundamentally advance our capabilities for precisely implementing safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to train nuanced safety behaviors, how to make the model robust to bad actors, how to address privacy and security risks, and how to make the model trustworthy in safety-critical situations.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.

About the Role

We’re seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You’ll advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities.

In this role, you will:

  • Research and implement methods for safety training, reinforcement learning, and adversarial robustness.

  • Develop evaluations, identify model failure modes, and use findings to improve training.

  • Work with research, engineering, security, and policy partners to support safe, reliable deployment.

You might thrive in this role if you:

  • Bring 4+ years of relevant AI safety research experience, including RLHF, adversarial training, or robustness.

  • Have a degree in computer science, machine learning, or a related field, and strong deep learning research or engineering skills.

  • Have experience improving model safety for deployment and enjoy collaborative research.

  • Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings.

Security Requirements

  • Active TS/SCI clearance or equivalent.

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.

What did you think of this job?

Comments 0

Want to leave a comment?
Sign in or create your account in seconds to join the discussion.
Loading comments...

About Scrum Master

The Scrum Master is the professional responsible for facilitating the adoption of Scrum and agile practices within development teams. They act as servant leaders, removing impediments, promoting continuous improvement, and ensuring Scrum events and ceremonies happen in the best possible way.

Key skills include event facilitation (sprint planning, daily, review, retrospective), backlog management, team coaching, conflict resolution, and agile metrics (velocity, burndown, cycle time). Knowledge of Jira, Trello, Azure DevOps, and frameworks like Kanban, XP, and SAFe is a differentiator.

Scrum Masters in technology companies are highly valued, especially those who can promote team autonomy, create psychologically safe environments, and lead agile transformations at scale. The field offers opportunities from junior scrum master to agile coach, head of agile, and director of agile transformation.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Administrative

The Administrative area is responsible for ensuring the efficient functioning of all organizational operations. Administrative professionals manage processes, human resources, procurement, and facility management.

Key skills include process management, Office 365, administrative ERPs, compliance, and people management. Knowledge of automation and AI tools is becoming increasingly relevant.

The digitization of administrative processes has created new opportunities for professionals who master technology and management.

About People Analyst

The People Analyst is the professional responsible for transforming people data into strategic insights for HR decision-making. They combine data analysis knowledge with people management vision to help organizations understand workforce metrics, turnover, engagement, and diversity.

Key skills include people analytics, workforce analytics, turnover and retention analysis, HR metrics (time-to-hire, cost-per-hire, e-NPS), data visualization (Power BI, Tableau, Visier), workforce planning, and compensation analysis. Knowledge of statistics, SQL, and people analytics tools is a differentiator.

People Analysts in technology companies are highly valued, especially those who can translate complex people data into actionable insights for retention, diversity, and growth strategies. The field offers opportunities from HR analyst to head of people analytics, with a focus on data-driven people management.

About Design

The Design field, especially UX/UI and Product Design, has experienced significant growth in recent years. With accelerated business digitization, the demand for professionals who can create intuitive and pleasant digital experiences has never been higher.

Key skills include Figma, Sketch, Adobe XD, user research, design thinking, prototyping, and system design. Product designers are increasingly valued for their direct impact on business results.

Remote work has opened doors for Brazilian designers to work for global companies, with competitive salaries in dollars and euros.

About Social Media

The Social Media area is one of the most dynamic and constantly evolving fields in digital marketing. Social media professionals are responsible for creating, managing, and optimizing brand presence on digital platforms, building engagement and community with the target audience.

Key skills include social media management (Instagram, TikTok, LinkedIn, Facebook, YouTube), social media content creation, community management, paid social media (Meta Ads, LinkedIn Ads, TikTok Ads), metrics analysis, and strategic planning. Tools like Hootsuite, Sprout Social, Buffer, Later, and analytics platforms are essential.

Social media professionals in technology companies are highly valued, especially those who master paid social, social media analytics, and content strategies for different platforms. The field offers opportunities from analyst to head of social media, with a focus on growth, engagement, and return on investment.

About Cloud Solutions

The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.

Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.

Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

Read full guide →

Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

Read full guide →

Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

Read full guide →

Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

Read full guide →

Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

Read full guide →

Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

Read full guide →

Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

Read full guide →

Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

Read full guide →

Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

Why the Data Era Has Never Been More Profitable

Discover how BI professionals are shaping the corporate future, driving strategic decision-making, and landing the best global remote jobs in the market.

Reading time: 5 minutes | Category: Data / BI

The Data Market Explosion

A decade ago, oil was considered the world's most valuable resource; today, that title indisputably belongs to data. However, raw data without interpretation is just noise. It is exactly at this turning point that the Business Intelligence (BI) market exploded in demand and financial valuation.

Companies of all sizes, from agile startups to global unicorns, have realized they can no longer base their decisions on guesswork. The BI professional has become the architect of financial and operational predictability. According to Gartner, in its annual reports on the Magic Quadrant for Analytics and BI, adopting business intelligence platforms is no longer a competitive advantage, but a matter of corporate survival.

The Required Profile: Way Beyond the Dashboard

The biggest mistake professionals make when trying to transition into Business Intelligence is believing the job comes down to creating pretty visual panels (Dashboards). Today's market, especially international companies paying six-figure salaries, requires a deep analytical mindset combined with solid technical skills.

Tech Recruiters are configuring their ATS systems (like Greenhouse and Ashby) to filter candidates who master the following verticals:

  • Data Modeling and ETL: The ability to Extract, Transform, and Load data from multiple sources into a Data Warehouse or Data Lake.
  • Query Languages: Advanced proficiency in SQL remains the backbone of any data operation.
  • Advanced Visualization: Tools like Microsoft Power BI (with deep knowledge in DAX), Tableau, and Looker are mandatory requirements.
  • Critical Thinking & Business Acumen: As highlighted by the Harvard Business Review, data professionals must translate technical complexity into clear answers for C-Level executives.

Compensation and the Global Job Route (US Remote)

The Business Intelligence market is perfectly adaptable to the Remote Worldwide model. Because the work essentially deals with cloud infrastructure and logical analysis, geographical barriers have been completely eliminated.

"The ability to analyze massive volumes of data and extract actionable insights is the most valued skill in the new digital economy. The global market is literally buying intelligence."

For global professionals, this represents a golden opportunity. North American and European startups are actively seeking Senior BI talent to work remotely, offering compensation in strong currencies (USD and EUR) through B2B contracts. Base salaries that easily surpass the $80,000 to $120,000+ range (six-figure compensation) are a common reality for Mid-level and Senior analysts who have fluent English and a robust analytical portfolio.

How to Stand Out in the Technical Interview

To break through the technical interview barrier for premium BI positions, candidates must prepare a problem-oriented portfolio. Instead of presenting a generic sales dashboard, showcase a documented case study. Show the data source, how the SQL was structured for cleansing, which predictive or statistical models were applied, and, most importantly, what was the financial impact (ROI) of that analysis.