Job Description
This is a great opportunity to supplement your income while pursuing full-time or longer-term opportunities — all while applying your Industrial Engineering expertise to help improve next-generation AI models! Our client has already hired over 1,000 Braintrust talent and plans to hire hundreds more. Many Braintrust subject‑matter experts earn over $12,000/month. You’ll have the flexibility to work as much or as little as you choose — 20 hrs/week suggested but not required.
Your final hourly rate will be chosen by Outlier AI and determined by your location.
What to Expect
If qualified, you’ll be invited to complete a brief 3–5 minute questionnaire. If you pass, you’ll be approved and able to begin work.
- Master’s degree and/or PhD in Industrial Engineering
- Strong understanding of:
- Operations research
- Optimization methods
- Supply chain systems
- Manufacturing processes
- Quality engineering & process improvement
- Ability to critique and explain complex technical concepts in clear English
- Research or industry experience in optimization, simulation, or systems engineering
- Experience analyzing workflows, statistical models, or industrial systems
- Familiarity with programming or analytical tools (Python, R, MATLAB, or similar)
- Experience teaching or documenting technical material
Projects will focus on helping train AI large language models (LLMs) to better understand Industrial Engineering concepts, methods, and reasoning. Example tasks may include:
- Evaluating AI-generated explanations of optimization, forecasting, and system design
- Reviewing analyses related to supply chain networks or operations research
- Assessing methodologies, calculations, and technical accuracy
- Writing clear explanations of tradeoffs in engineering decisions
- Reviewing step-by-step reasoning for correctness
💡
No prior AI experience needed! Instructions provided after approval.
Note:
Outlier AI is partnering with Remotasks for this opportunity.
Internship
Employment TypeFull-time
Job FunctionManagement and Manufacturing
IndustriesTechnology, Information and Internet
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