WFH.teamOpen app$52k-$104k
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Decision details from the source listing
2+ years stated
Bachelor’s degree or equivalent professional experience in Finance, Economics, Business Analytics, Industrial Engineering, Operations Management, or a related discipline
unspecified
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What this posting tells you
Remote contractor role interpreting financial and operational charts and creating precise, objectively verifiable questions, answers, and explanations to support AI training and evaluation. Requires at least two years of relevant experience; a bachelor’s degree or equivalent professional experience is preferred. Listed salary range is $52,000–$104,000.
Data, Design and creative, Finance and investments, Operations, Product, Security, Customer support, Writing and content
Eligible countries are not stated.
Timezone overlap is not stated.
Subject matter expert · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Data hiring on WFH.team
This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSubject Matter Expert – Financial & Operations Chart Analysis at micro1
Role Title: Subject Matter Expert – Financial & Operations Chart Analysis
Role Type: Contractor
Location: Remote
micro1 is selecting Subject Matter Expert – Financial & Operations Chart Analysis contributors to support a customer's project focused on high-level chart interpretation and reasoning. 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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.