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Generalist

Private Investigator Expert

Ethos Remote Posted 1 days ago

Education

Any

Type

Pay Rate

$75/task

Posted

1d ago

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About this Role

About the job

About the Role

We're working with a leading foundational AI lab to find experienced private investigators and corporate intelligence professionals who can help train their latest language model on investigation and intelligence tasks. We're looking for senior investigators with 5+ years conducting corporate, legal, or insurance investigations to create, evaluate, and refine AI-generated work across core investigation workflows.

Qualifications

Licensed investigator with 5+ years of corporate, legal, or insurance investigation experience
Strong expertise in research methods, source validation, and investigation documentation
Excellent written communication and attention to detail

Required Skills

5+ years conducting corporate, legal, or insurance investigations.

Preferred Skills

Strong expertise in research methods, source validation, and investigation documentation.

Pay range and compensation package

Compensation: $75/hour

Commitment: Flexible, up to 20 hours per week (up to $1.5k/week)

Location: Fully remote, work on your own schedule

Start Date: ASAP

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Generalist

Compensation Analysis

Monetize your niche expertise without the billable hours. At $75/hr, this role offers elite compensation for pure intellectual work—no client management or administrative bloat.

Skills & Categories

Explore other opportunities in related specializations:

Generalist Expert AI Training

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Frequently Asked Questions

Is this normal AI training work?

No. Ethos is an expert network — not a task queue. You won't be rating chatbot responses. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge: deal analysis, clinical reasoning, legal logic, financial modeling. Work takes three forms: paid consulting engagements (multi-week), 30–60 minute advisory calls, and targeted research surveys.

Do I need to constantly apply for projects?

No. Once your profile is live, Ethos's AI automatically matches you to inbound opportunities based on your career history. Companies find you — you don't hunt for listings. Your Expert Score rises with each completed engagement, which unlocks higher-value inbound over time. Ethos already works with 25+ private equity firms, hedge funds, and consultancies, so deal flow is real.

When and how do I get paid?

Payment is processed within 30 days of submitting your invoice after a project closes. This net-30 schedule is standard for enterprise expert networks but slower than weekly-paying AI platforms. Plan your cash flow accordingly — this is not a 'get paid Friday' setup.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

Who built Ethos and is it legitimate?

Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up and it is actively working with 25+ PE firms, hedge funds, and consultancies. It is legitimate and well-funded. The referral link on this page is an affiliate link — this does not affect your pay or opportunities.