Economics Expert (PhD)
Listing checked September 4, 2026 · pay as published by micro1
Overview
Your PhD in economics can shape how AI systems interpret and reason about economic principles. micro1 is bringing in PhD-level economists to generate detailed, high-quality answers for an AI training initiative. You do not need any machine learning background. The role is fully remote and pays per completed task. Your core output includes golden responses that serve as quality benchmarks for model developers.
What You'll Do7
- 1Write thorough, well-reasoned answers to advanced economics prompts, keeping explanations clear and useful for learners.
- 2Review economics queries, datasets, and solution proposals for accuracy, completeness, and alignment with accepted research methods.
- 3Build explanations and justifications that work across economic concepts, from intro-level ideas to specialized subjects.
- 4Coordinate with annotation leads and project managers to tighten task definitions and keep deliverables aligned.
- 5Draft golden reference responses that model trainers use as scoring benchmarks for future outputs.
- 6Document the context and reasoning behind each response so model developers can trace how answers were built.
- 7Join remote meetings and workshops to refine project goals and keep contributor expectations consistent.
Requirements7
- 1Earned a PhD in economics or a closely tied field, with demonstrated depth in core theory and specialized areas.
- 2Exceptional written and spoken communication, including the ability to explain economics to non-specialists.
- 3A record of producing, reviewing, or publishing economics content such as journal articles, research reports, or university curriculum.
- 4Solid grounding across several sub-disciplines, including microeconomics, macroeconomics, econometrics, behavioral, labor, or international economics.
- 5High attention to detail and a strong preference for methodological correctness and analytical rigor.
- 6Prior exposure to AI, data annotation, or digital content work is helpful but not necessary.
- 7Comfort working independently on a remote contract with weekly submission expectations.
Who Should Apply
This role fits an economist who genuinely enjoys writing and explaining, not someone who only wants to do pure research. Candidates who thrive here can translate dense theory into readable, accurate prose and can commit to a regular weekly output of tasks. Less suited are people without a doctorate or those who treat deadlines as optional. Applications often miss the mark when they fail to show any examples of economics writing or when they underestimate the project's minimum task requirements. Show your writing chops early and you will stand out.
Salary Insight
Compensation runs $80 to $90 per hour equivalent, but micro1 structures it as output-based pay per completed task. Your total income depends on the per-task rate and the weekly volume you can deliver while keeping quality high. The project requires a minimum number of weekly submissions, so confirm the current thresholds before you accept.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$80–$90/hr
Most AI Training roles pay $40–$95 per hour. This role's pay falls inside that range.
Based on 997 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,112
- Listed in last 30 days
- 569
- Remote
- 99%
Hiring most right now: micro1 (302) · SME Careers (253) · Mercor (155)
Most requested skills · share of roles
- ai evaluation14%
- ai training14%
- llm evaluation13%
- data annotation11%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$80–90/hr
Required Skills
Application Tip
Attach a one-page economics writing sample that shows how you would explain a concept to a curious non-specialist. If possible, use one micro and one macro example, and list any published research or curriculum you have authored.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.
Handshake AI
VerifiedEconomics Expert
Handshake AI brings Economics PhDs in to judge and critique AI-generated answers in their field, on hourly contracts that run project by project. Reviewers work through questions in econometrics, game theory, monetary policy, and other branches of applied economics, then write structured feedback on how the model reasoned its way to an answer. That feedback shapes how AI systems handle markets, institutions, and evidence-based claims. Projects open on a rolling basis, so many contributors keep a faculty post or research appointment and take this on alongside it.
SME Careers
VerifiedEconomics QA Lead for Remote AI Training Projects
As an Economics QA Lead, you guide quality across economics-focused AI training initiatives delivered remotely. You will review AI-generated economics content, policy analyses, and data interpretations to ensure accuracy and clarity against project rubrics. You’ll craft precise written feedback and coordinate with a dispersed team of analysts, reviewers, and QAs through collaborative channels. Documentation, calibration tasks, and onboarding materials support scalable QA processes across projects.
AfterQuery
VerifiedEconometrics Expert
AfterQuery needs applied economists to build the evaluation problems that frontier AI labs use to test whether a model can reason about economic data. You draw on your own research background to design realistic empirical exercises covering causal inference, panel data, choice models and forecasting, then solve each one yourself so a verified reference answer exists. Every step needs its reasoning spelled out, since the point is to show where a model's identification logic holds up and where it falls apart. Work runs async with a 10 hour weekly floor and no ceiling, and pay lands each week through Stripe.
micro1
VerifiedMath Expert PhD for AI Training: Remote Contract
A remote contractor role for PhD-level mathematicians to support an AI training project. You’ll craft detailed, accurate responses to undergraduate and graduate level math prompts and create high-quality “golden” answers for model training. Collaboration with a distributed expert team ensures clarity and educational value, while you interpret complex problems into clear explanations. Your domain knowledge in mathematics is the key asset, and no AI background is required.
micro1
VerifiedEconomics Research MTS Focused on AI Evaluation and Economic Analysis
A remote, full-time role focused on AI-driven economic reasoning. You’ll design and test evaluation methods for AI systems across economic tasks, collaborating with researchers, economists, engineers, and product teams to push the boundaries of economics-informed AI. Expect to build datasets, benchmarks, and quality rubrics that reflect real-world economic research and policy challenges. Economics and AI evaluation are at the core of this work.
micro1
VerifiedResearch Evaluation Specialist (PhD or Masters / Researcher / Professor)
micro1 seeks Research Evaluation Specialists with a PhD or Masters to build rigorous test material for advanced AI model evaluation on a customer project. You will craft original, high-difficulty question-and-answer pairs at the frontier of your discipline, then verify and document answers using primary sources and authoritative references. The role is remote and worldwide, about 15 hours per week, with output-based pay. Prior experience in AI training, data labeling, or model evaluation is required.