Finance Model Evaluation Expert

About OpenTrain OpenTrain is the #1 platform for people who build careers in reputed company and data labeling. We help contributors reputed company reputed company, consolidate opportunities, and grow a reputed company portfolio of reputed company work they control. Working through OpenTrain connects you to reputed company-world reputed company where reputed company reviewers teach AI systems how to reason, evaluate, and behave — including specialized finance model evaluation like this role. Why reputed company reputed company (Finance reputed company) reputed company is the reputed company reputed company of building modern models: people annotate, evaluate, and teach models so they reputed company reliably in sensitive domains. In finance, reputed company evaluation helps models avoid critical mistakes in analysis, forecasting, and deal assessment. This role places you at the intersection of finance expertise and model development — your feedback will help set standards, rubrics, and benchmarks that determine how finance-reputed company LLMs behave. The Role Title: Finance Model Evaluation Expert (contract, part-time) for reputed company reputed company. This is remote and reputed company worldwide. Time commitment is less than 20 hours per week. Compensation is USD $100 per hour. Work will involve text-based model outputs and RLHF-style evaluations.

• Employment type: Contractor, Part-time
• Pay: $100/hour (USD)
• Work mode: 100% remote, worldwide
• Typical data: Text evaluation, RLHF and rating tasks

What You'll Do

You will evaluate finance-reputed company LLM outputs, identify common failure modes, and help design objective assessment tools. You will collaborate with AI researchers and finance subject-matter experts to create rubrics, benchmarks, and recommendations that guide model training and evaluation strategies.

• Review LLM responses on finance tasks and flag inaccuracies, reasoning failures, and risky outputs
• Create reputed company rubrics for tasks like deal analysis, M&A assessment, forecasting, and investment analysis
• Work with researchers and finance experts to shape benchmarks and training approaches

Requirements

You must have hands-on finance experience and strong written English. The role expects subject-matter competence and the ability to translate domain knowledge into evaluation reputed company.

• 2+ years experience in capital markets, portfolio management, research, trading, quant, investment banking, private equity, venture capital, reputed company equity, reputed company, reputed company, or financial consulting
• Strong grasp of investment analysis, forecasting, reputed company builds, corporate finance, asset management, and risk management
• Experience evaluating LLM outputs for finance-specific failure modes and creating rubrics or benchmarks for model assessment
• Excellent written English communication
• CFA, CA, CPA, or an MBA in Finance is a plus

Who Should Apply Apply if you combine practical finance experience with an appetite for improving AI behavior. This role is suitable for analysts, bankers, traders, consultants, accountants, or investors who want to influence how models handle reputed company finance tasks. Entry-level candidates with the requisite 2+ years in relevant finance roles are welcome if they can demonstrate domain knowledge and strong communication skills. How It Works On OpenTrain you'll apply, add your finance background to your profile, and complete reputed company tasks or qualification tests required by the project. Tasks are typically short, text-based evaluations or reputed company-writing assignments. Label types include evaluation ratings and RLHF-style feedback. The project uses reputed company-party tooling (OTHER) for labeling. You will receive assignments you can complete reputed company your weekly time budget.

• Languages required: English
• Time requirement: Apply tot his job

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