Economics Quality Assurance Lead (Remote, Expert)

About OpenTrain

OpenTrain is the leading platform for building careers in AI training and data labeling. We connect specialists with meaningful, domain-focused work that helps shape how modern AI systems behave while letting contributors build a reusable portfolio of experience.

As the hiring organization for this role, OpenTrain provides structured projects, collaborative remote teams, and clear expectations so subject-matter experts can focus on high-quality review and instruction.

• Work remotely with flexible schedules and clear project guidelines
• Contribute domain expertise to improve AI outputs and training materials

About AI Training Work

AI training (data labeling, annotation, and human-feedback work) is the human foundation behind state-of-the-art models. Specialists evaluate model answers, correct reasoning, rate outputs, and ensure alignment with task rubrics—directly shaping how models learn and behave.

These roles are often 100% remote and well suited for part-time expert contributors who want flexible hours and to work on cutting-edge problems that value domain knowledge.

• Human reviewers check model reasoning, calculations, and interpretation against detailed rubrics
• Contributors gain portable experience across projects and may move into advanced QA and training roles

The Role

OpenTrain is hiring an Economics Quality Assurance Lead to evaluate economics-focused AI training work for accuracy, consistency, and rubric adherence. You will review AI-generated economics content and trainer QA work, give precise written feedback, maintain alignment across remote teams, and help improve documentation and calibration materials.

This is an hourly remote contractor role for US-based applicants. Expect 20+ hours per week at a pay rate of $90/hour. Work is conducted in English using collaboration tools such as Discord, Google Sheets, Google Docs, dashboards, and trackers.

• Role type: Contractor, part-time (20+ hours/week)
• Pay: $90 per hour (hourly contractor work)
• Location: Remote, US applicants only; English required
• Data type: Text (label types: evaluation rating, text generation)

What You’ll Do

You will focus on evaluating the accuracy and clarity of economics content, spotting recurring issues, and supporting materials that keep quality high across distributed teams.

• Review economics explanations, calculations, graphs, policy analyses, and step-by-step reasoning for accuracy and clarity
• Assess model outputs and trainer QA against detailed rubrics and provide clear written feedback
• Identify recurring quality problems and escalate or document them for resolution
• Support onboarding, style guides, FAQs, trackers, and calibration exercises to keep reviewers aligned
• Maintain consistency as project guidelines evolve and help improve workflow practices

Requirements

We are looking for an expert with strong economics knowledge and proven ability to evaluate quantitative reasoning. Preserve accuracy: every listed requirement is drawn from the role description.

• Strong command of microeconomics and macroeconomics
• Background in economics, applied economics, econometrics, public policy, finance, statistics, mathematics, or a closely related quantitative field
• Experience in economics research, teaching, policy analysis, consulting, data analysis, econometrics, or content review
• Ability to evaluate economic reasoning, assumptions, formulas, calculations, and data interpretation
• Experience reviewing economics content against detailed rubrics and giving precise written feedback
• Familiarity with regression analysis, causal inference, economic modeling, Excel, R, Python, or Stata is preferred
• Experience leading or supporting remote teams and prior work with AI training, LLM evaluation, or rubric-based review is a strong plus

Who Should Apply

This role is ideal for senior economists, econometricians, policy analysts, quantitative researchers, or data scientists who enjoy detailed review work and improving how models reason about economics topics.

• You enjoy reading and critiquing explanations, checking calculations, and documenting subtle errors
• You can translate technical issues into clear, actionable feedback for trainers and reviewers
• You prefer collaborative remote work and contributing to calibration and onboarding materials

How It Works

As an OpenTrain contractor you will join project channels, complete calibration tasks, and begin reviewing assignments according to project schedules. Deliverables, trackers, and feedback loops are managed through shared docs and dashboards.

OpenTrain provides the project framework and contracting relationship; reviewers are paid hourly and coordinate with remote teams to maintain quality and consistency.

• Apply and build your OpenTrain profile to be considered for the role
• Onboarding includes calibration tasks and documentation review before live work
• Work remotely and log hours according to contractor policies; collaborate via Discord, Google Sheets, and other project tools