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Quik Hire Staffing

Applied Statistician (Remote)

Quik Hire Staffing · United States

  • Hybrid
  • Contract
  • $150,000 / year
  • United States
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Job highlights

  • Teach AI quantitative reasoning skills remotely.
  • Create prompts and evaluate AI's statistical accuracy.
  • Provide expert feedback on complex problems.
  • Requires strong statistics and analytical skills.
  • Flexible remote schedule with high hourly pay.

About the role

Role Overview

One of our clients is hiring Statistics Experts to teach AI how to interpret and solve complex quantitative problems. As a domain expert, you will create rigorous analytical prompts, evaluate model responses for statistical accuracy, and ensure frontier AI adheres to the highest standards of quantitative reasoning — all on a fully remote, flexible schedule.

Key Responsibilities

  • Assess the factuality and relevance of domain-specific text produced by AI models.
  • Craft challenging analytical prompts and write expert-level answers in Statistics.
  • Evaluate and rank domain-specific responses generated by AI models for accuracy.
  • Review and correct AI-generated chains of thought for statistical correctness.
  • Provide clear, precise written feedback on quantitative reasoning and methodology.
  • Collaborate with the Outlier expert community to maintain quality standards.

Required Skills

  • Ability to write clearly and precisely about Statistics concepts in fluent English.
  • Strong analytical reasoning and rigorous attention to quantitative detail.
  • Comfortable working independently in a fully remote, asynchronous environment.

Required Qualifications

  • Education in Statistics, Biostatistics, Mathematical Statistics, Applied Mathematics, Econometrics, Data Science, Operations Research, Machine Learning with a statistical focus, or Quantitative Psychology.
  • Experience working as a statistician, biostatistician, data scientist, quantitative researcher, or in a comparable highly technical/analytical role.

Compensation

Earn up to $150 USD/hr. Payments issued weekly via supported payout platforms (e.g., PayPal or AirTM).

Equal Opportunity Employer

We're an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.

Apply Now

If your expertise can teach AI how to reason — apply now!

Key skills/competency

  • Applied Statistician
  • Statistics
  • AI
  • Quantitative Reasoning
  • Analytical Prompts
  • Model Evaluation
  • Statistical Accuracy
  • Data Science
  • Machine Learning
  • Quantitative Psychology

Skills & topics

  • Applied Statistician
  • Statistics
  • Data Science
  • Machine Learning
  • AI
  • Quantitative Analysis
  • Remote Work
  • Biostatistics
  • Econometrics
  • Operations Research

How to get hired

  • Tailor your resume: Highlight statistics education and analytical roles.
  • Showcase skills: Emphasize clear writing and quantitative detail.
  • Address remote work: Mention comfort with independent, asynchronous work.
  • Prepare for questions: Be ready to discuss statistical accuracy and AI.
  • Apply directly: Submit your application emphasizing your expertise.

Technical preparation

Review core statistical concepts and formulas.,Practice writing clear, quantitative explanations.,Familiarize yourself with AI response evaluation.,Understand prompt engineering basics.

Behavioral questions

Describe a complex statistical problem you solved.,How do you ensure accuracy in your work?,How do you handle working independently remotely?,How do you provide constructive feedback?

Frequently asked questions

What are the primary responsibilities of an Applied Statistician at Quik Hire Staffing client company?
As an Applied Statistician, you will teach AI to interpret and solve complex quantitative problems. This involves creating analytical prompts, evaluating AI model responses for statistical accuracy, and providing feedback on quantitative reasoning and methodology. You'll work remotely to ensure AI adheres to high standards of quantitative reasoning.
What qualifications are needed to become an Applied Statistician with this remote role?
We require an education in a quantitative field such as Statistics, Biostatistics, Data Science, or Machine Learning with a statistical focus. Additionally, experience as a statistician, data scientist, or quantitative researcher in a highly technical/analytical role is necessary. Fluency in English and strong analytical skills are also key.
Can I apply for the Applied Statistician role if I am not in the United States?
Yes, this Applied Statistician position is fully remote and open to candidates in the United States, Canada, Puerto Rico, United Kingdom, New Zealand, Australia, Mexico, or Argentina. The role offers a flexible schedule and is suitable for those comfortable working independently.
What is the compensation for the Applied Statistician role?
The compensation for this Applied Statistician role is competitive, with the opportunity to earn up to $150 USD per hour. Payments are issued weekly through supported payout platforms like PayPal or AirTM.
How does the Applied Statistician role contribute to AI development?
As an Applied Statistician, your core contribution is to imbue AI models with robust quantitative reasoning capabilities. By creating precise prompts, evaluating responses for statistical accuracy, and correcting their thought processes, you help frontier AI understand and solve complex statistical problems, enhancing its overall intelligence and reliability.
Is there a need to collaborate with other experts in the Applied Statistician role?
Yes, collaboration is a key aspect of the Applied Statistician role. You will be part of the Outlier expert community, working together to maintain high quality standards for the AI's quantitative reasoning and statistical accuracy. This collaborative environment ensures consistent and reliable AI performance.