$25–50/hr
The role in one line
A finance or operations professional designs rigorous analytical questions from charts to train AI on quantitative graphical reasoning.
Written by Training Turk from the public listing; it may be incomplete or out of date. Read the full posting on micro1.
What you would do
- Analyze candlestick, yield curve, control, Pareto, process flow visualizations leveraging specialized business knowledge
- Craft precise, multi-step reasoning questions that require interpretation, calculation, and trend analysis without subjective ambiguity
- Write detailed answers with step-by-step calculations, showing how to extract data from the chart and apply analytical methods
- Apply precise financial and operational language, with clarity regarding measurement units, scale conventions, periods, labels
- Develop robust, objectively verifiable tasks that support AI model training and evaluation
Who they are looking for
- Bachelor's degree or comparable work background in Finance, Economics, Business Analytics, Industrial Engineering, or related fields
- At least 2 years working with financial market information, risk assessment metrics, and production performance visualizations
- Advanced proficiency recognizing chart features such as axes, scales, legends, and annotations across diverse visualization types
- Demonstrated ability to articulate analytical processes and quantitative reasoning clearly in both written and spoken English
- Background in technical documentation, financial reporting, process assessment, or structured analytical task creation for AI projects
Skills this role asks for
What the interview is likely to probe
1.Candlestick and market chart interpretation
Candlestick patterns encode OHLC data and trading logic; this tests whether you can extract and explain what patterns reveal about price momentum and volatility.
Expect something like: “Three candlesticks: Day 1 opens 100, closes 110; Day 2 opens 115, closes 105; Day 3 opens 102, closes 108. Describe what this pattern indicates about trading behavior and how you would design a reasoning question about momentum for an AI model.”
2.Yield curve and fixed-income chart reading
Yield curves encode term structure and market expectations; this checks whether you understand what shifts in slope or shape mean for economic signals.
Expect something like: “A yield curve is flat at 3% for all maturities, then inverts (short rates at 4%, long rates at 2%). Explain what this signals about market expectations and how you would frame a question for an AI.”
3.Control chart and process quality interpretation
Control charts identify process variation and out-of-control signals; this tests whether you can spot special-cause variation versus common-cause noise.
Expect something like: “A control chart shows 15 consecutive points above center, then 12 below, with no points exceeding limits. Identify what this signals about process stability and design a task for AI evaluation.”
4.Task design and unambiguity
Your questions must be objective; this checks whether you can write questions with no subjective interpretation, only factual answers.
Expect something like: “Design two different reasoning questions based on a Pareto chart of manufacturing defects: one that has a single correct numerical answer, and one that asks for a multi-step decision. Then identify which is more suitable for AI training and why.”
5.Notation and terminology precision
Finance and operations use specific terminology; this tests whether you communicate using exact language so AI models learn the standard vocabulary.
Expect something like: “Write a 100-word explanation of how to read a capacity-throughput chart in manufacturing, using exact terms for axes (throughput units, utilization %), units of measure, and what changes in the scatter plot shape indicate about process constraints.”
Exercise you may get
Design a reasoning question from a 5-day candlestick chart requiring multi-step analysis and volatility calculation, then provide a step-by-step answer with explicit numerical values.
How to prepare
- Gather 2-3 charts from your work and review one in detail, noting exact axis labels, units, and what business insight each feature encodes.
- Write out a glossary of 5-10 financial or operational terms you commonly use (e.g., 'drawdown,' 'control limit,' 'Pareto principle') and ensure you can explain them with precision.
- Design one sample reasoning question on a chart you select; write both an answer and a note on why the question is unambiguous and objectively verifiable.
- Review one data-annotation or benchmark task you have completed in a previous role; identify what made it robust or where ambiguity crept in, and prepare to discuss refinements.
Facts
- Pay
- $25–50/hr
- Eligible locations
- Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Domain
- Business Operations
- Role type
- specialist
- Posted
- 9/17/2026
- Open slots
- 50