Financial Analysis AI Trainer

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors find projects, build a unified training portfolio, and grow freelance careers teaching AI—work that shapes how models behave and learn.

This role is hiring through OpenTrain AI and will contribute directly to building higher-quality finance-focused AI outputs used for model training and evaluation.

About AI Training Work

AI training (also called data labeling or human feedback work) is the human side of building artificial intelligence. Contributors review model outputs, score responses, create gold-standard answers, and write feedback that guides model improvements.

These projects are typically 100% remote, flexible, and accessible to professionals with domain expertise. For this role you will apply deep finance knowledge to review, correct, and produce high-quality financial analysis used to train and evaluate generative models.

The Role

As a Financial Analysis AI Trainer you will evaluate AI-generated financial and business-finance responses, correct errors, and produce gold-standard content: models, narratives, and sensitivity analyses.

Work is contractor, part-time, remote, and focused on finance analysis, expert feedback, and AI training content. Expect to work 20+ hours per week and be paid hourly.

• Employment type: Contractor, Part-time
• Time expectation: 20+ hours/week
• Work style: Fully remote

What You'll Do

Your core responsibility is to judge and improve AI outputs for numeric correctness, logical coherence, and practical usefulness in financial contexts. Tasks blend evaluation, editing, and content creation.

• Review AI-written financial analysis for accuracy, clarity, and reasoning quality
• Identify and explain errors in financial modeling logic, valuation reasoning, forecasting, unit economics, and metric interpretation
• Fact-check assumptions, calculations, sign conventions, and links between income statement, balance sheet, and cash flow
• Create detailed prompts and gold-standard finance outputs including models, narratives, and sensitivity/scenario analyses
• Rank and compare multiple responses to improve numeric correctness and practical usefulness

Requirements

You must bring proven finance expertise, strong quantitative judgment, and clear written communication. All required qualifications below are essential for safe handling of the work.

• Degree in Finance, Accounting, Economics, Business, Mathematics/Statistics, or a related field
• 5+ years professional financial analysis experience (FP&A, corporate finance, investment banking, equity research, consulting, or similar)
• Deep command of 3-statement logic, cash flow drivers, working capital, margin analysis, and corporate accounting linkage
• Experience building and reviewing financial models, forecasting, scenario analysis, cohort/unit economics, and pricing analyses
• Valuation expertise including DCF mechanics, comparable company selection, and clear assumption setting
• C1-level English writing ability and strong attention to quantitative detail
• Prior AI data training, finance QA, investment memo review, or analytics editorial experience is a strong plus

Helpful Background

The following experiences will help you excel but are not strict requirements listed above. They reflect the kinds of judgment and communication that improve training outcomes for models.

• Experience communicating complex analysis clearly to executive audiences
• Familiarity with KPI dashboards and variance analysis
• Comfort working independently across time zones

Compensation, Eligibility, and How It Works

Pay: Hourly compensation in USD. Typical range for this role is $50–$85 per hour. Exact rate within that range will reflect experience and tasks assigned.

Location eligibility: This role is open to applicants located in VN, TL, TH, SG, PK, PH, NP, MY, LK, KH, ID, BT, BD, IN, BR, DE, and US. Candidates outside these countries are not eligible for this posting.

Labeling focus: Tasks will involve RLHF-style feedback, evaluation ratings, and text-generation gold-standard outputs. You will work directly in OpenTrain workflows and follow project guidelines for consistency and data quality.

• Label types: RLHF, evaluation rating, text generation
• Data type: Text
• Payment type: Hourly (USD)