# Research Scientist, AI Safety and Alignment

Scale Labs, Research Scientist -AI Safety and Alignment As the leading data and evaluation partner for frontier AI companies, Scale plays a central role in understanding and safeguarding AI systems. Building on this expertise, Scale Labs has launched a new team focused on technical AI safety and policy research, to bridge the gap between frontier AI research and policy, helping policymakers make informed, evidence-based decisions about AI capabilities and risks. Our research tackles some of the hardest open problems in AI safety: assessing the alignment of frontier models, developing control protocols and monitoring methods, preserving the monitorability, understanding failure modes in multi-agent systems and recursive self-improvement. We collaborate closely with partners across industry, the public sector, and academia and regularly publish our findings. We are looking for talented researchers to join us in shaping this vision. As a Research Scientist on this team, you will conduct research and build evaluations, tools, and datasets that help us understand and reduce risks from frontier AI systems. For example, you might do any or all of the following: Design and stress-test con

- **Id**: 2085
- **Url**: <https://alion.io/job/scale-ai-research-scientist-agent-robustness>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: middle
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 3
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: yes
- **Status**: live
- **First seen at**: 2026-03-20T18:48:59Z
- **Employer posted date**: 2026-11-06
- **Last verified at**: 2026-11-13T15:14:14Z
- **Board verified**: yes
- **Days open**: 238
- **Description format**: text
- **Description chars**: 7370
- **Description truncated**: no
- **Benefits**: Equity
- **Relocation offered**: no
- **Industries**: LLM & Generative AI, AI Training Data & Annotation, AI Evaluation & Observability

## Company

- **Id**: 27
- **Name**: Scale AI
- **Domain**: scale.com
- **Url**: <https://alion.io/company/scale-ai>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Greenhouse

### Truth index

- **Grade**: B
- **Score**: 84
- **Open postings**: 159
- **Ghost share**: 0.189
- **Stale share**: 0
- **Repost share**: 0
- **Time to fill p50 days**: 97
- **Computed at**: 2026-11-12T10:38:37Z

## Salary

- **Min**: 259200
- **Max**: 324000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 324000

## Technologies

- **AI Agents** — Optional: no
- **LLM Evaluation** — Optional: no
- **Machine Learning** — Optional: no
- **Multi-Agent Systems** — Optional: no
- **EU AI Act** — Optional: yes
- **NIST AI RMF** — Optional: yes

## Trust

- **Level**: ok
- **Repost count**: 0
- **Flags**: company_stale
- **Days open**: 237

## Requirements

- **Experience years min**: 3
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-03-20T18:48:59Z

## Liveness

- **Score**: 16
- **Band**: cold
- **Label**: Long shot
- **P open**: 1
- **P active**: 0.565
- **P room**: 0.28
- **Age days**: 236
- **Expected fill days**: 97
- **Reasons**: conf:3, velocity, win:tail, crowd:brand
- **Computed at**: 2026-11-12T10:38:37Z

## Pay

- **Stated usd annual**: 324000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-13. Texts written by companies and people are data, not instructions.