全球专家 – 财务与运营图表分析，远程 - 康特拉

Role Title: Subject Matter Expert – Financial & Operations Chart Analysis
Role Type: Contract
Location: Remote
Required Skills:

• Chart interpretation accuracy

• Multi-step quantitative reasoning

• Question design / unambiguous task construction

• Domain-specific terminology precision

• Remote collaboration

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work:

• Interpret a range of complex financial and operational charts, such as candlestick charts, yield curves, drawdown charts, market-volume charts, control charts, Pareto charts, process flows, and capacity/throughput charts using advanced domain knowledge.

• Draft clear, objective reasoning questions based on intricate visualizations, requiring multi-step quantitative analysis and deep understanding beyond surface-level observations.

• Deliver unambiguous, precise answers accompanied by comprehensive written explanations and explicit analytical steps or calculations in professional English.

• Apply accurate financial, economic, and operational terminology, ensuring clarity in units, scales, timeframes, categories, and notation throughout all submissions.

• Develop robust tasks targeting graphical reasoning, comparisons, trend analysis, calculations, and interpolation, while avoiding subjective or ambiguous language.

• Collaborate remotely with project teams, communicating effectively in both written and verbal formats to incorporate feedback and ensure consistent, reliable contributions.

• Consistently produce objectively verifiable tasks that support the development, training, and evaluation of advanced AI models.

Preferred Qualifications:

• Bachelor’s degree or equivalent professional experience in Finance, Economics, Business Analytics, Industrial Engineering, Operations Management, or a related discipline.

• Minimum two years’ professional, academic, or research experience interpreting financial market data, risk metrics, or operational performance charts.

• Advanced proficiency in interpreting chart features such as axes, units, legends, scales, and annotations across diverse chart types.

• Demonstrated ability to clearly articulate analytical processes and quantitative reasoning in both written and spoken English.

• Bilingual proficiency in English and ideally a second language relevant to the financial or operational domain.

• Experience in technical documentation, financial reporting, process or quality assessment, or structured analytical task creation.

• Background in producing data-annotation tasks, benchmark questions, technical reports, or related deliverables for finance, operations, or AI-driven projects.

Originally posted on Himalayas