# Safety Research Scholar - Human Frontier Labs

**Company**: Human Frontier Collective
**Location**: Canada; United Kingdom; United States
**Experience**: senior
**Job type**: full-time
**Category**: Research
**Industry**: Artificial Intelligence

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4744402005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c89d245f-595

## Description

## Job Overview

The Human Frontier Collective (HFC) is seeking a Safety Research Scholar to join their team. The HFC, in partnership with Scale Labs, aims to build a small cohort of researchers to work on the empirical foundations of AI safety.

## Research Areas

The scholar will work on projects in selected AI safety research areas, guided by mentors. These areas include:

- AI control and chain-of-thought monitoring

- Alignment auditing and evaluations

- Multi-agent safety

- Recursive Self-Improvement (RSI) safety

- Science of Evaluations

- Misuse risks and evaluations

## Responsibilities

As a Safety Research Scholar, you will:

- Own a substantial part of a safety research project

- Work alongside a mentor from the research question through the experiments to deciding what to test next

- Turn a high-level safety question into hypotheses, baselines, and controlled experiments

- Implement and debug evaluation harnesses, agent environments, datasets, monitoring methods, or post-training experiments

- Exercise research judgment to identify confounds, separate what a model can do from what it tends to do, and decide what to try next

- Produce reproducible code, experiment logs, analysis, and precise technical writing

## Requirements

You may be a good fit if you:

- are motivated by reducing catastrophic risks from advanced AI systems

- are interested in technical safety research

- are pursuing or have completed a PhD in CS, ML, statistics, mathematics, or a related field

- can make progress with high-level guidance

- communicate research clearly and handle confidential information and internal systems responsibly

## Skills

### Required
- AI safety
- technical safety research
- PhD in CS, ML, statistics, mathematics

### Nice to have
- alignment evaluations
- AI control
- monitoring
- multi-agent safety
- open-weight model safety

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4744402005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)