Technical Problem Author (Multi-Domain) | $80-$110/hr Remote
Overview
Technical Problem Author (Multi-Domain) is a contractor role that taps your deep domain knowledge to help train AI systems used in engineering. You’ll craft and assess real world problems across fields like Aerodynamics, CAD, Materials Science, and circuitry, shaping how models learn and reason. The work hinges on your expertise rather than AI background, with remote collaboration and a focus on practical engineering judgment.
What You'll Do7
- 1Create and evaluate advanced technical problems in your specialist area to train AI models
- 2Review AI generated responses for technical accuracy and engineering relevance
- 3Apply real world design, analysis, and failure scenario judgment to aid model training
- 4Identify ambiguities in technical statements and propose precise clarifications
- 5Provide clear written and verbal feedback to support AI learning and model improvement
- 6Work with a distributed team of experts to deliver high quality domain input
- 7Document insights and recommendations to guide ongoing model refinement
Requirements6
- 1Advanced degree in a relevant engineering field or substantial industry experience in your domain
- 2Minimum of 5 years hands on technical practice in areas such as mechanical design, aerodynamics, materials, or circuit development
- 3Proven track record in technical problem authoring or equivalent activities (competitions, exams, standards, or committees)
- 4Strong written and spoken English communication skills
- 5Familiarity with industry standard engineering tools such as AutoCAD and other CAD/CFD/FEA software
- 6Ability to work independently and meet project timelines in a remote setting
Who Should Apply
You are a seasoned engineer who thrives on creating and solving tough, real world problems. You should enjoy detailed analysis, excel at explaining complex concepts clearly, and want to influence how AI systems learn engineering reasoning. Remote collaboration is key, and you bring a proactive, independent work style with a strong track record of delivering high quality domain input.
Salary Insight
Compensation is task based, with pay determined per completed item that meets project requirements. The exact rate varies by task and expertise, and there is a minimum submission requirement each week.
Location
Required Skills
Application Tip
Highlight a concrete example of a complex problem you authored or led, including the outcome and how it improved a model's performance or understanding.
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