xAI11.03.26
AI SCORE 8.5

Remote AI Finance Tutor - Quantitative Finance Specialist

$80K–$120K/year

About the Role

We are seeking a Remote AI Finance Tutor to join our innovative team at xAI. In this role, you will enhance the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. As a Remote AI Finance Tutor, you will collaborate closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives.

What You'll Do

  • Provide high-quality input and labels for AI training in quantitative finance.
  • Collaborate with the technical team to refine annotation tools and select complex problems.
  • Focus on algorithmic investment strategies to drive improvements in model performance.
  • Adapt to evolving instructions and execute tasks in a fast-paced environment.
  • Contribute to the training and refinement of xAI's AI models.

Requirements

  • Experience in quantitative finance or a related field.
  • Strong communication skills to share knowledge effectively.
  • Ability to interpret and execute tasks based on evolving instructions.
  • Hands-on experience with AI technologies and tools.
  • Proven ability to work in a dynamic and fast-paced environment.

Nice to Have

  • Familiarity with algorithmic trading strategies.
  • Experience in AI model training and refinement.
  • Knowledge of financial markets and investment strategies.

What We Offer

  • Competitive salary ranging from $80,000 to $120,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional development and growth.
  • Collaborative and innovative team culture.
  • Hands-on experience with cutting-edge AI technologies.
Why This Job8.5 of 10

This Remote AI Finance Tutor position at xAI offers a unique opportunity to work with cutting-edge AI technologies in the finance sector. The role emphasizes collaboration and innovation, making it an exciting prospect for professionals in quantitative finance.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About xAI

Explore xAI careers in 2026 and discover exciting job openings in remote, hybrid, and office roles. Our platform offers tailored application tracking, insightful company information, and advanced filters to help you find the perfect position at xAI. Stay updated with the latest industry news and vacancy scores to enhance your job search experience and unlock your potential in the innovative world of artificial intelligence.

Industry
Tech
Location
Remote

Who Will Succeed Here

Strong analytical skills with proficiency in Python and R for quantitative finance modeling and simulations.

Self-motivated and disciplined, able to manage time effectively in a remote work environment while collaborating asynchronously with team members.

Hands-on experience with AI training and annotation tools such as TensorFlow or PyTorch, demonstrating a mindset for continuous learning and adaptation to new technologies.

Learning Resources

Quantitative Finance Coursecourse

Career Path

Remote AI Finance Tutor - Quantitative Finance Specialist(Now)Quantitative Analyst / Data Scientist(1-2 years)Lead AI Finance Strategist(3-5 years)

Market Overview

Market Size 2024
$13.5B
Annual Growth
12.3%
AI Adoption in Finance
75%
Investment in FinTech AI
+150%
Labour Demand for Quantitative Roles
+20%
Avg Salary for Quantitative Finance Specialists
$120K

Skills & Requirements

Required
Quantitative FinanceAI TrainingAnnotation Tools
Growing in Demand
Machine LearningData VisualizationPython for Finance
Declining
Excel VBATraditional Statistical Software (e.g., SAS)

Domain Trends

Rise of AI in Trading
AI-driven trading algorithms are predicted to account for over 60% of all trades by 2025, enhancing speed and accuracy.
Increased Demand for AI Tutors
The need for AI training and tutoring in quantitative finance is projected to grow by 40% as more professionals seek to upskill in AI applications.
Shift to Cloud-based Financial Solutions
Over 70% of financial institutions are expected to migrate to cloud-based platforms by 2025, creating new opportunities for professionals skilled in cloud technologies.

Industry News

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