Investment Risk & Forensic Analysis AI Trainer, $140-$160​/hour

Investment Risk & Forensic Analysis AI Trainer, $140-$160/hour at Linked In.

About the role Linked In is building a community of domain specialists to shape the accuracy and safety of large language models.

As an AI Trainer focused on investment risk and forensic analysis, you will apply your financial expertise to generate, evaluate, and annotate content that helps AI systems handle complex safety classifications.

This consultant position offers remote, flexible project work where your professional judgment directly influences how AI technology interprets sensitive scenarios within the financial sector.

Key facts

Location:

United States only Engagement:
Part-time, project-based consultant work Work Type:
Remote Compensation: $140 to $160 per hour (estimated based on anticipated project completion time)

• Create realistic scenarios drawn from investment risk, forensic accounting, and financial compliance contexts that test AI safety systems across categories including sexual content, violence, self-harm, and hate speech
• Assess outputs generated by AI models to determine accuracy, appropriateness, and alignment with safety standards
• Identify subtle edge cases where content classification becomes ambiguous or requires specialized financial industry knowledge to interpret correctly
• Apply detailed annotation guidelines and attach structured metadata to each scenario or evaluation you complete
• Write clear documentation explaining your classification decisions, particularly for borderline cases where reasoning must be transparent and defensible
• Conduct quality reviews of your own work and potentially the work of other contributors to maintain consistency and realism across the project
• Bring your professional background in financial investigations, compliance oversight, or portfolio risk management to inform how safety classifiers should respond to domain-specific content
• Provide feedback that helps improve model performance when handling nuanced situations that require understanding of financial industry norms, regulations, and operational realities

• 10 to 15 years of professional experience in investment risk, forensic accounting, compliance, portfolio oversight, or financial investigations
• Background working within asset management firms, hedge funds, private equity organizations, venture capital firms, or forensic accounting practices
• Professional history that includes titles such as Senior Portfolio Risk Analyst, Hedge Fund Compliance Officer, Forensic Accounting Lead, Director of Investment Risk, or Senior Quant Risk Manager
• Demonstrated experience making decisions in operational, compliance, safety, security, legal, technical, or policy contexts within the financial domain
• Strong written communication abilities with the capacity to articulate complex reasoning in clear, structured prose
• Analytical skills sufficient to evaluate ambiguous scenarios where correct classification is not immediately obvious
• Current residence and work authorization in the United States

• Deep familiarity with investment risk frameworks, forensic investigation methodologies, and financial compliance requirements
• Ability to recognize how financial industry terminology, practices, and scenarios might intersect with AI safety categories
• Comfort working with annotation guidelines and applying consistent standards across multiple examples
• Capacity to assess AI-generated content critically and provide actionable feedback
• Self-direction and time management skills appropriate for remote, flexible project work
• Proficiency with your own tools and technology setup, as consultants provide their own equipment

• This position is structured as project-based consultant engagement rather than full-time employment
• Payment is issued on a per-project basis, with hourly rates serving as estimates tied to expected completion time
• You control your own schedule and determine when and how you complete assigned work
• Consultants may simultaneously provide services to other vendors or employers, subject to any restrictions that parties may impose
• Linked In maintains data security and privacy standards outlined in their Global Data Privacy Notice for Talent Community participants, available through their legal documentation portal
• Only professionals currently based in the United States are eligible for this engagement