Freelance Retail Investor
@ HelixRecruit

Hybrid
$218,400
Hybrid
Contractor
Posted 5 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @helixrecruit.com
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Job Details

About the Freelance Retail Investor Role

Our partner HelixRecruit is seeking experienced retail investors and active traders who regularly use platforms such as Wealthsimple, Robinhood, Charles Schwab, and more. This position calls for individuals deeply engaged in personal investment management, equity and ETF trading, or crypto markets. You will provide practical insights into independent investor decision-making and contribute to data annotation and model training in an AI lab setting.

Responsibilities

  • Provide detailed market analysis and portfolio management insights.
  • Annotate and evaluate data to train financial AI models.
  • Review and categorize trading content and investor communications.
  • Collaborate with research teams to refine AI modeling.
  • Test investment tools and investor interfaces, providing structured feedback.

Ideal Background

Candidates should be active or experienced retail investors using platforms such as Robinhood, Wealthsimple, Charles Schwab, Fidelity, eToro, Interactive Brokers, SoFi, or Webull. Hands-on experience in trading stocks, ETFs, crypto, or derivatives is required along with a strong grasp of retail investor psychology, risk assessment, and market behavior. Experience in online investor communities is a bonus.

Compensation & Engagement

This is an hourly contractor role (approximately 20–30 hours per week) with a competitive rate of $105 per hour. Payments are made weekly via Stripe. The role is fully remote and offers flexibility.

Key skills/competency

Retail Investing, Active Trading, Data Annotation, Financial Analysis, AI Model Training, Market Analysis, ETF Trading, Crypto Trading, Portfolio Management, Risk Assessment

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How to Get Hired at HelixRecruit

🎯 Tips for Getting Hired

  • Customize your resume: Tailor financial expertise to HelixRecruit requirements.
  • Highlight trading experience: Emphasize active retail investments.
  • Show data skills: Detail your annotation and evaluation work.
  • Research interview tips: Prepare for financial scenario questions.

📝 Interview Preparation Advice

Technical Preparation

Review financial trading platforms.
Study data annotation techniques.
Practice AI model training basics.
Update skills on investment analysis.

Behavioral Questions

Discuss past trading decisions.
Explain risk assessment experiences.
Describe data categorization challenges.
Share teamwork in research projects.

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