Research Analyst
@ Hirenza

Hybrid
$114,400
Hybrid
Full Time
Posted 4 days ago

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Job Details

About Hirenza

Data Annotation is a leading organization dedicated to advancing artificial intelligence through meticulous data labeling and model training. We provide high-quality annotation services for AI models across diverse industries.

About The Role

Hirenza is seeking a highly skilled finance professional for a unique role focused on training AI models. As a Research Analyst, you will assess AI chatbot performance by measuring progress, evaluating logical reasoning, and troubleshooting issues to enhance overall quality.

Qualifications

The ideal candidate will have a strong background in finance with advanced analytical skills. A Masters or PhD in Financial Accounting, Investment Banking, Wealth Management, Insurance Planning or similar is preferred. Proficiency in financial analysis, modeling, and data interpretation, along with native or bilingual English fluency, is required.

Responsibilities

You will:

  • Provide AI chatbots with diverse, complex financial problem sets.
  • Evaluate AI outputs for correctness and logical consistency.
  • Collaborate with the development team to enhance AI reasoning.
  • Monitor model responses to ensure they meet quality and financial standards.
  • Document evaluation results to refine AI training.

Benefits

This role offers remote work flexibility with competitive hourly rates (starting at $50-$60 USD) plus bonuses. Enjoy the opportunity to work independently on diverse projects and contribute to cutting-edge AI development.

Key skills/competency

Finance, Analytical, AI, Data Annotation, Evaluation, Modeling, Troubleshooting, Remote, Research, Innovation

How to Get Hired at Hirenza

🎯 Tips for Getting Hired

  • Research Hirenza's culture: Study their mission and innovation in AI.
  • Customize your resume: Highlight finance and analytical skills.
  • Showcase AI knowledge: Include relevant projects and results.
  • Prepare for interviews: Practice finance case studies and technical scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review financial modeling techniques.
Practice AI performance evaluation.
Study complex data interpretation.
Refresh statistical analysis methods.

Behavioral Questions

Describe teamwork in remote settings.
Explain handling challenging financial data.
Discuss problem-solving under pressure.
Describe adapting to new technologies.

Frequently Asked Questions