Econometrics Instructor
Phoenix, AZ · Remote
Strong command of regression analysis, causal inference, hypothesis testing, and statistical ... Nice to Have Master's or PhD in Economics, Statistics, or a related quantitative field. Hands‐on ...
Econometrics Instructor
Phoenix, AZ · Remote
Strong command of regression analysis, causal inference, hypothesis testing, and statistical ... Nice to Have Master's or PhD in Economics, Statistics, or a related quantitative field. Hands‐on ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Knowledge of teaching biostatistics methods courses including methods such as causal inference and AI/ML (e.g. deep learning, language models and responsible AI). Minimum Qualifications * PhD or ...
Knowledge of teaching biostatistics methods courses including methods such as causal inference and AI/ML (e.g. deep learning, language models and responsible AI). Minimum Qualifications * PhD or ...
Phd Causal Inference information
See Arizona salary details
$37.3K - $49K
1% of jobs
$49K - $60.7K
0% of jobs
$60.7K - $72.5K
2% of jobs
$72.5K - $84.2K
7% of jobs
$84.2K - $95.9K
11% of jobs
$97.9K is the 25th percentile. Wages below this are outliers.
$95.9K - $107.7K
24% of jobs
The median wage is $110K / yr.
$107.7K - $119.4K
24% of jobs
$125K is the 75th percentile. Wages above this are outliers.
$119.4K - $131.1K
12% of jobs
$131.1K - $142.9K
9% of jobs
$142.9K - $154.6K
2% of jobs
$154.6K - $166.3K
7% of jobs
$37.3K
$114.6K
$166.3K
How much do phd causal inference jobs pay per year?
As of May 29, 2026, the average yearly pay for phd causal inference in Arizona is $114,555.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $128,600.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a PhD Causal Inference researcher, and why are they important?
To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.
What collaborative opportunities can a PhD specializing in Causal Inference expect within a multidisciplinary research team?
PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.
What is a PhD in Causal Inference?
A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.
What are popular job titles related to Phd Causal Inference jobs in Arizona? For Phd Causal Inference jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Phd Causal Inference jobs in Arizona look for? The top searched job categories for Phd Causal Inference jobs in Arizona are:
What cities in Arizona are hiring for Phd Causal Inference jobs? Cities in Arizona with the most Phd Causal Inference job openings:
Full-time
Posted 28 days ago
Job description
About The Role We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands statistical reasoning, causal inference, and economic modeling. Your expertise will directly influence the quality and accuracy of next‐generation AI systems — work that matters at a global scale. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and validate econometric questions, models, and explanations used in AI training datasets.
Assess the statistical accuracy, underlying assumptions, and interpretation of quantitative results. Identify errors, edge cases, and gaps in AI-generated economic reasoning. Provide clear, structured feedback to improve model clarity and analytical rigor.
Apply real‐world teaching experience to evaluate content the way a student or practitioner would encounter it. Work independently and asynchronously on a schedule that works for you. Who You Are 3+ years of experience teaching econometrics, quantitative economics, or closely related fields.
Strong command of regression analysis, causal inference, hypothesis testing, and statistical interpretation. Able to clearly evaluate and explain complex quantitative reasoning in writing. Comfortable reviewing structured technical content with precision and consistency.
Self‐motivated and reliable when working independently on task‐based assignments. Nice to Have Master's or PhD in Economics, Statistics, or a related quantitative field. Hands‐on experience with statistical tools such as R, Stata, or Python.
Familiarity with AI systems, model evaluation, or data annotation workflows. Why Join Us Work on cutting‐edge AI projects alongside top research labs. Fully remote and flexible — design your own schedule.
Freelance perks: autonomy, variety, and global collaboration. Contribute to meaningful work that improves how AI reasons about economics and statistics. Potential for ongoing work and contract extension.
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