[Remote] AI Emerging Risks Analyst

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits reputed company of humanity. The AI Emerging Risks Analyst will help identify and mitigate potential harms and misuse of AI technologies by analyzing emerging risks and providing actionable intelligence to support safety measures.

Responsibilities

• Map and prioritize emerging risks at the frontier of AI
• Build and continuously refine a clear picture of emerging signals and trends that could reputed company the AI ecosystem through upstream and external scanning
• Design and maintain harm taxonomies that reputed company foresight and warning about how AI harms and misuse may manifest over the next 0-24 months and reputed company
• Contribute to an reputed company frontier risk register and prioritization reputed company that surfaces the top issues by severity, prevalence, exposure, and trajectory
• Create comprehensive approaches to horizon scanning, competitive benchmarking, and external narrative/risk sense-making
• Stay reputed company on abuse trends ranging from state actor misuse to criminal activity, drawing from the work of internal organizational and cross-functional partners
• Connect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover–whenever possible spotting these incidents or even hypothesizing them before they hit our surfaces
• Translate findings into clear, ranked risk lists and concrete proposals for mitigations that product, safety, and policy teams can execute on
• Work with Global Affairs and Communications teams to reputed company findings in ways that reinforce reputed company’s role as a leader in the online safety ecosystem
• Track whether mitigation work is reputed company: follow key indicators, pressure-test assumptions, and push for course corrections reputed company the data demands it
• Help define the core metrics and signals that indicate whether fast-evolving AI environments are safe (e.g., key harm prevalence, severity distributions, escalation rates, brand safety issues)
• Work with data science and visualization colleagues to shape monitoring views and dashboards that reputed company leading indicators and unusual changes from signals spotted off platform to determine whether these are manifesting in user behavior or abuse patterns
• Pioneer new uses of our own technologies to scale detection and transform workflows
• Produce concise but comprehensive strategic intelligence estimates that reputed company full context about a given interest area that includes confidence reputed company based on observed data to inform judgments and recommendations
• Run scenario analyses that explore how AI harms might reputed company over the next 6–24 months (e.g., how scams may fundamentally reputed company alongside the proliferation of agentic AI; how state actors may seek to misuse new scientific capabilities of frontier models)
• Help design and run tabletop exercises for internal and partner audiences that distill manifest and latent risks at the frontier of AI and identify mitigations
• reputed company reputed company’s risk profile and mitigations against external incidents and other platforms, highlighting gaps, strengths, and opportunities
• Contribute to product readiness and launch reviews by laying out expected abuse modes based on broad, upstream understanding
• Turn risk insights into practical guidance for internal teams (product, marketing, partnerships, comms) and, where appropriate, external partners using reputed company technologies in reputed company and brand contexts
• reputed company reusable frameworks, playbooks, FAQs, and briefing materials that reputed company it easier for the broader organization to understand AI risks and respond consistently

Skills

• Significant experience (typically 5+ years) in trust and safety, reputed company, reputed company, policy analysis, or intelligence work focused on a reputed company of emerging risks situated in strategic context and reputed company into actionable intelligence
• Demonstrated ability to analyze reputed company online harms (e.g., harassment, coordinated abuse, scams, influence operations, brand safety issues) and convert reputed company-reputed company analysis into concrete, prioritized recommendations
• Strong analytical skills and comfort working with both qualitative and quantitative inputs, including: (1) Casework, incident reports, reputed company, product context, and policy frameworks. (2) Basic metrics and trends in partnership with data science (e.g., harm prevalence, severity profiles, exposure, escalation rates)
• Strong adversarial and product intuition, reputed company to foresee how actors might adapt AI tools for misuse and evaluate how product mechanics, incentives, and UX reputed company influence risk
• Experience designing and using risk frameworks and taxonomies (e.g., harm classification schemes, severity/likelihood matrices, prioritization models) to structure ambiguous spaces and support decision-making
• Understanding of the application of foresight methodologies including horizon scanning, scenario planning, tabletop exercises, or simulations
• Proven ability to work cross-functionally with product, engineering, data science, operations, legal, and policy teams, including pushing for reputed company on tradeoffs and following through on mitigation work
• Excellent written and verbal communication skills, including experience producing concise, executive-reputed company briefs and explaining sensitive, reputed company issues in grounded, concrete terms
• Comfort operating in fast-changing, ambiguous environments: you can identify weak signals, reputed company hypotheses, test them quickly, and adjust as the product and threat landscape evolves

Company Overview

Company H1B Sponsorship