The work
Create realistic engineering analysis problems and detailed reference answers for evaluating AI models. The work draws on practical judgment to distinguish sound analysis from mistakes that may seem reasonable.
- Write problems based on your professional experience in reliability, quality, process, or test engineering.
- Cover designed experiments, statistical process control, reliability analysis, and failure data.
- Work through each problem and explain the reasoning behind every step.
- Explain technical decisions clearly in written English.
What it pays and takes
- Pay: $115 per hour, with weekly pay.
- Time: 20+ hours per week.
- Schedule: Fully asynchronous, with availability that can adjust over time.
- Work arrangement: Part-time independent contractor role with ongoing project work.
- Location: Open to candidates in the countries supported for this role; it is not worldwide.
- Language: Strong written English and the ability to explain analytical reasoning clearly.
- Education: A degree in engineering, physics, or statistics.
- Experience: At least three years of full-time work in reliability, quality, process, or test engineering.
- Skills: Hands-on experience with design of experiments, statistical process control, or reliability analysis.
- Tools: Comfort using Minitab, JMP, Python, or R.
- Helpful background: Capability studies, measurement system analysis, life data analysis, uncertainty quantification, or a master's degree in engineering or statistics.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses examples prepared and reviewed by people to help build and evaluate AI systems. This role draws on engineering expertise to create problems and reference answers that help assess model responses.
Listed by OpenTrain AI. Details can change, so check the original posting before applying. View original posting