Risk Engineer - Fully Remote | Upto $80/hr

Obsidian; Berlin; Remote; EUR 242.493 - 484.986; Teilzeit

Zusammenfassung

Obsidian is looking for contributors to work on a frontier AI coding project in Berlin, Germany. You will evaluate model-generated solutions, focusing on complex fraud and risk engineering tasks, using frontier AI coding agents.

The position requires at least 2 years of experience in fraud or risk engineering, and compensation is tied to performance with tasks paying $400 each. If you have experience in fintech or related areas, consider applying.

Qualifikationen

• 2+ years of professional experience in fraud engineering, risk engineering, trust & safety, or related domains.
• Experience building fraud detection systems and risk scoring models.
• Regular use of AI coding agents for evaluation tasks.

Aufgaben

• Use frontier AI coding agents to evaluate complex fraud and risk engineering tasks.
• Review model-generated implementations and identify bugs.
• Compare outputs from multiple models and assess their strengths.

Kenntnisse

Fraud Engineering

Risk Engineering

Trust & Safety

AI Coding Agents

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Jobbeschreibung

About the Role

• Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.
• Contributors help evaluate and improve frontier AI coding models through structured technical assessments.
• The work focuses on realistic fraud, risk, and trust & safety engineering workflows and model evaluation.
• Spots are limited and filling quickly on a first come, first serve basis.

What You'll Do

• Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks.
• Review model-generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems.
• Identify bugs, edge cases, and failure modes.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic fraud and risk engineering scenarios.

Time Commitment

Sprint based project that runs in 12-24 hour stretches based on client requirement.

Compensation

• $400 per accepted task.
• Typical tasks take approximately 2–3 hours after ramp-up.
• Compensation is tied to accepted work.

Who Should Apply

• 2+ years of professional experience in fraud engineering, risk engineering, trust & safety, or related domains.
• Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model-generated solutions in fraud, risk, and trust & safety contexts.
• Experience in fintech, payments, marketplaces, or large-scale consumer platforms is preferred.