TL;DR

AI Tutor (Personal Finance): Enhancing AI models by providing high-quality data annotations and inputs focused on personal finance contexts. With an accent on retail investing strategies, personal budgeting, financial planning, and tax preparation. Focus on designing annotation tools, analyzing complex finance problems, and collaborating with technical teams to improve AI training.

Location: Remote or Palo Alto, CA (in-office). US candidates from Wyoming and Illinois are not eligible. Visa sponsorship is not available.

Salary: $45–$100 per hour

Company

%hirify_global% is a mission-driven AI company focused on creating systems that understand the universe and aid humanity's pursuit of knowledge, emphasizing engineering excellence and a flat organizational structure.

What you will do

Provide accurate data input and labels for personal finance AI projects using proprietary software.
Curate high-quality data related to retail investing, budgeting, financial planning, and tax preparation.
Collaborate with technical teams to support AI training and develop annotation tools.
Analyze complex personal finance problems to enhance AI model performance.
Interpret and execute evolving instructions with precision and adaptability.

Requirements

Must be US-based (excluding Wyoming and Illinois) or work remotely with strong self-motivation.
Professional experience in personal finance or related fields.
Proficiency in reading and writing English; strong communication skills.
Ability to work 9:00am - 5:30pm PST during training and in own timezone thereafter.
Visa sponsorship is not available.

Nice to have

Relevant certifications such as CFP, CFA, or Enrolled Agent.
Experience mentoring or training in finance or tax preparation.
Familiarity with AI or data annotation workflows.
Comfort recording audio or video for data collection.

Culture & Benefits

Flat organizational structure with emphasis on initiative and engineering excellence.
Flexible remote work with required hardware specifications.
Competitive hourly pay with additional country-specific benefits.
Equal opportunity employer.

Hiring process

Initial CV and statement review followed by a 15-minute phone interview.
Technical deep-dive on legal/compliance expertise and data annotation experience.
Take-home challenge focused on data labeling or analysis.
Meet-and-greet with the wider team.