Reliability and Quality Engineering Analysis Expert

OpenTrain AI, Inc.; United States; Remoto; USD 131.000 - 186.000; Part-time

Descrizione del lavoro

OpenTrain AI, Inc. is seeking a Reliability and Quality Engineering Analysis Expert to craft engineering problems and worked answers for AI evaluation. This remote, part-time contract requires hands-on reliability/quality experience, DOE/ SPC/ reliability analysis proficiency, and clear English explanations.

The role offers $115 per hour, 20+ hours per week, and fully asynchronous work arrangements. Candidates should be comfortable with data-driven problem framing and detailed reasoning for AI

Competenze

• Three+ years of full-time work in reliability, quality, process, or test engineering.
• Experience with design of experiments, statistical process control, or reliability analysis.
• Comfort using Minitab, JMP, Python, or R.

Mansioni

• Create engineering analysis problems for AI evaluation and provide worked answers.
• Cover reliability, quality, process, or test engineering topics.
• Explain reasoning step-by-step in clear written English.

Conoscenze

Design of experiments

Statistical analysis

Reliability analysis

Engineering experience

Formazione

Master's degree in engineering or statistics

Strumenti

Minitab

JMP

Python

R

Descrizione del lavoro

Reliability and Quality Engineering Analysis Expert

Create engineering analysis problems and worked answers for AI evaluation, drawing on reliability, quality, process, or test engineering experience. The contract pays $115 per hour and requires 20+ hours weekly.

Remote Hourly · $115/hr

$115/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 95 countries

United States + more

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Cote d'Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

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.
• 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.

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