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Remote | Academic Research & Python Task Consultant — $70-$100/hour

$70 - $100 per hour

24-MAG

New York, NY
  • Remote job

We are sharing a specialised part-time consulting opportunity for professors, PhD students, and advanced academic researchers experienced in domain-specific problem design, Python-based evaluation, benchmark task development, and structured reasoning assessment.

This role supports current and upcoming remote consulting opportunities focused on academic benchmark task design, Python-based evaluation workflows, domain-specific problem development, golden solution preparation, model behavior analysis, and high-quality project execution. Selected professionals will apply their academic expertise to create challenging real-world tasks, define precise expected outputs, develop executable tests, and evaluate reasoning or problem-solving performance across advanced subject areas.

Key Responsibilities

Professionals in this role may contribute to:

Academic Task Design & Development

  • Design challenging, real-world problems drawn from your academic or professional domain
  • Create tasks across areas such as machine learning, coding, data science, computer science, physics, mathematics, engineering, statistics, biology, chemistry, finance, accounting, economics, law, or business
  • Build tasks that test reasoning, problem solving, instruction following, and domain-specific judgment
  • Ensure task prompts are clear, rigorous, realistic, and aligned with expert-level expectations

Python-Based Solutions & Evaluation Assets

  • Prepare task specifications, golden solutions, and supporting evaluation components using Python
  • Develop executable tests or structured checks that support objective evaluation
  • Translate complex domain problems into clear, testable workflows with measurable success criteria
  • Review task materials for correctness, completeness, reproducibility, and technical clarity

Model Behavior Analysis & Failure Classification

  • Evaluate model or agent performance on domain-specific tasks
  • Identify tasks where outputs fail to satisfy tests, instructions, or expected reasoning standards
  • Classify failure modes involving logical reasoning, problem decomposition, technical execution, or domain understanding
  • Write clear analysis explaining where and why a task response succeeds or fails

Rubric Development & Structured Review

  • Develop detailed rubrics and evaluation frameworks for academic and technical benchmark tasks
  • Apply consistent evaluation standards across tasks, outputs, and solution materials
  • Provide clear written feedback explaining quality, reasoning gaps, and improvement areas
  • Collaborate with other subject matter experts to support consistency and accuracy across review workflows

Ideal Profile

Strong candidates may have:

  • Current or retired professor status, or current PhD student status, in a relevant academic or professional field
  • Academic expertise in STEM, quantitative, professional, or research-intensive domains
  • Working proficiency in Python applied through research, industry work, GitHub projects, coursework, or technical task development
  • Ability to design rigorous domain-specific problems and evaluate solutions with precision
  • Strong reasoning, written communication, problem-solving, and independent work skills
  • Ability to manage time effectively and contribute reliably in a remote project-based environment
  • Availability for high-commitment project work, potentially 30+ hours per week during weekdays depending on project scope

Educational Background

  • A completed or in-progress PhD from a strong university program is highly relevant
  • Academic backgrounds may include machine learning, coding, data science, computer science, physics, mathematics, engineering, statistics, biology, chemistry, finance, accounting, economics, law, business, or related fields
  • Teaching, research, publication, technical writing, benchmark design, coding, or evaluation experience may be especially valuable

Nice to Have

  • Experience in AI training, model evaluation, benchmark development, data annotation, or structured task review
  • Experience writing Python tests, executable checks, golden solutions, or reproducible research code
  • Familiarity with agentic task design, model behavior analysis, reasoning evaluation, or failure-mode classification
  • Experience developing academic assessments, problem sets, rubrics, grading criteria, or research evaluation materials
  • Strong ability to turn complex academic or professional problems into clear, testable tasks

Why This Opportunity

  • Apply academic expertise to structured remote benchmark and evaluation work
  • Contribute to high-quality task design, Python-based solution development, and reasoning assessment
  • Work on flexible assignments aligned with your research field, domain knowledge, and technical strengths
  • Use your ability to identify reasoning gaps, design rigorous problems, and evaluate outputs with precision
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Eligible professionals should be based in the United States depending on project needs
  • High-commitment project availability may be required, potentially 30+ hours per week during weekdays depending on project scope
  • Competitive rates between $70–$100 per hour depending on expertise and project scope
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Vacancy posted 3 days ago
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