KSA
Finance & Investment AI RaterEvaluator
LILT
- Industry Type
- Oil, Gas, Petroleum
- Functional Area
- Finance Industry Oil, Gas, Petroleum
- Nationality
- Any
- Keywords
- Financial Analysis Investment Strategy Risk Management Data Analysis
Job Description
LILT is looking for experienced Finance and Investment professionals in Riyadh, Saudi Arabia, to help evaluate Artificial Intelligence (AI) systems. The role involves providing expert judgment in AI evaluation processes related to finance and investment.
- Position
- Finance & Investment AI RaterEvaluator
- Company
- LILT
- Location
- Riyadh, Saudi Arabia
- Industry
- Oil, Gas, Petroleum
- Experience
- 1 to 20 years
Responsibilities
- Support high-quality AI evaluation through training benchmarking, red-teaming, and ongoing model monitoring.
- Contribute expert judgment to human-in-the-loop AI evaluation workflows used by lead initiatives.
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About the role: Finance & Investment AI RaterEvaluator
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Finance & Investment AI Raters/Evaluators assess and analyze the performance and accuracy of artificial intelligence systems used in financial and investment sectors. They typically work in industries such as oil, gas, and petroleum, where AI tools support decision-making and risk management.
What this role usually involves
- Review and evaluate AI outputs related to financial data and investment decisions.
- Ensure AI systems comply with industry standards and provide accurate results.
- Collaborate with data scientists and financial analysts to improve AI models.
- Identify errors or biases in AI-generated reports and suggest improvements.
- Document evaluation findings and prepare reports for management.
Skills employers usually look for
- Strong analytical and critical thinking abilities.
- Good understanding of finance and investment principles.
- Familiarity with AI technologies and data evaluation methods.
- Attention to detail and accuracy in reviewing data.
- Effective communication skills for reporting findings.
Usual qualifications
- A degree or diploma in finance, economics, computer science, or related fields.
- Knowledge of artificial intelligence and machine learning concepts is beneficial.
- Training or certification in data analysis or AI evaluation may be preferred.
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