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Part Time Mathematical Optimization Jobs (NOW HIRING)

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · On-site +1

$114.90K - $157.30K/yr

Mathematical optimization * Decision and Control * Experience with MATLAB * Experience in Java and ... You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least ...

Applied Optimization

Editing Specialist

Fairborn, OH · On-site

Principal Scientist FLSA Status: Part-Time (Non-Exempt) Department: Technical Deliverables Position ... mathematical modeling in AM processes, Applied Optimization's team is adept at assessing ...

Applied Optimization

Mechanical Engineering Intern

Fairborn, OH · On-site

$17.75 - $23.75/hr

Applied Optimization (AO) Job Title: Mechanical Engineering Intern Reports to: Principal Scientist ... Conduct numerical modeling, mathematics support, and computer programming * Support resolution of ...

Applied Optimization

Mechanical Engineering Intern

Fairborn, OH · On-site

$17.75 - $23.75/hr

Applied Optimization (AO) Job Title: Mechanical Engineering Intern Reports to: Principal Scientist ... Conduct numerical modeling, mathematics support, and computer programming Support resolution of ...

TripleTen

$40 - $150/hr

You can join us on a part-time basis (~10-15h/week), contributing as an instructor leading live ... Mathematical foundations of supervised learning, optimization theory, probability and statistics ...

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How much do part time mathematical optimization jobs pay per hour?

As of May 29, 2026, the average hourly pay for part time mathematical optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Part Time Mathematical Optimization vs Part Time Data Analyst?

AspectPart Time Mathematical OptimizationPart Time Data Analyst
Required CredentialsDegree in Mathematics, Operations Research, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, consulting firms, or tech companiesBusiness, finance, marketing departments
Industry UsageSupply chain, logistics, manufacturingMarket analysis, reporting, business insights
Common Search/ComparisonPart Time Mathematical Optimization vs Part Time Data Analyst

Part Time Mathematical Optimization focuses on developing algorithms and models to optimize complex systems, often requiring advanced mathematical skills. In contrast, Part Time Data Analysts interpret data to provide actionable insights, typically using statistical tools. Both roles may overlap in data handling but differ in their core objectives and technical approaches.

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What are the most commonly searched types of Mathematical Optimization jobs? The most popular types of Mathematical Optimization jobs are:
What job categories do people searching Part Time Mathematical Optimization jobs look for? The top searched job categories for Part Time Mathematical Optimization jobs are:
Part Time Mathematical Optimization jobs near you
Infographic showing various Part Time Mathematical Optimization job openings in the United States as of May 2026, with employment types broken down into 10% Full Time, 89% Part Time, and 1% Temporary. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.
Explainable AI Engineer

Explainable AI Engineer

Brain Gain Recruiting

Palo Alto, CA • On-site, Remote

$114.90K - $157.30K/yr

Full-time, Part-time

Posted 27 days ago

Job description

Company Description

We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts.

We are building hallucination-free Agentic AI for mission critical decision support where GenAI relies on proprietary Explainable AI engines for SME-explainable insights from historical data.

Job Description

We’re hiring an Explainable AI Engineer to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including

  • Development of deep math features for the models, ML, and inferences
  • Automation of data wrangling and cleansing towards scalability
  • Aerospace grade V&V for mission critical functions using simulations
  • Explainable AI engine interfaces to data, human users, and Agentic AI

Main Responsibilities:

  • Understand, develop, & support deep math analytics in Explainable AI Engines
  • Build, evolve, verify, and validate data processing pipeline segments
  • Support scalable deployment of the AI
  • Integrate Explainable AI with LLM tools for Agentic AI experience
  • Collaborate with the cloud software team and occasionally with customers
  • Document Explainable AI for customer users and internal software developers
Qualifications

Must-haves

  • Experience with productized analytical applications
  • Experience building mission-critical applications as a part of a team
  • Hands-on skills in at least some of mathematical methods in:
    • Statistics
    • Bayesian estimation
    • Mathematical optimization
    • Decision and Control
  • Experience with MATLAB
  • Experience in Java and GitHub (Actions).
  • Solid experience writing technical documentation
  • Strong collaboration and communication skills.
  • Bachelor’s Degree in Engineering or a related field
  • U.S. Citizenship.

Pluses

  • Model-based development / simulation-based verification
  • Operations Research
  • Supply chain and/ or MRO in the aerospace industry
  • Building SaaS type applications
  • Shell scripting, Golang.
  • Experience with GenAI and LLM augmentation (RAG)
  • An advanced degree

Additional Information
  • US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
  • A background check and a drug check may be required.
  • Location: This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office may be a plus.
  • You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.