Engineering PhD Technical Problem Evaluation Expert

OpenTrain AI, Inc.; United States; Remote; USD 110.000 - 131.000; Teilzeit

Zusammenfassung

OpenTrain AI, Inc. is seeking an Engineering PhD Technical Problem Evaluation Expert for a fully remote, short-term pilot. This role leverages doctoral research experience to design and review realistic technical problems used to train AI systems and to assess submissions for clarity and grading consistency.

The engagement is part-time and remote, with a 2–3 week pilot, offering hourly pay of $80–$95. Candidates from multiple countries are welcome to apply.

Qualifikationen

• PhD or current PhD candidacy in electrical, mechanical, chemical, industrial, or aerospace engineering.
• Hands-on research or professional practice involving engineering problems you have worked on directly.
• Ability to explain technical reasoning clearly and have decisions verifiable by another engineer.

Aufgaben

• Design technical problems based on real engineering workflows and data.
• Produce correct analyses and explain the reasoning behind each solution.
• Set objective standards so another engineer can judge answers consistently.
• Review other contributors' problems for technical accuracy and sound methods.
• Flag problems that are ambiguous or cannot be graded reliably.

Kenntnisse

Engineering problem design

Technical reviews

Clear technical communication

Ausbildung

PhD or PhD candidate in engineering

Jobbeschreibung

Engineering PhD Technical Problem Evaluation Expert

Use your engineering PhD or doctoral research experience to design and review realistic technical problems for AI training. This fully remote, 2 to 3 week pilot pays $80 to $95 per hour.

Remote Hourly - $80–$95/hr

$80–$95/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 52 countries

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will create and assess realistic engineering problems used to train and evaluate AI systems. The work draws on direct research or professional experience in electrical, mechanical, chemical, industrial, or aerospace engineering.

You will also review work from other contributors and identify problems that are unclear or cannot be graded consistently. This role is intended for Engineering PhD candidates, so review the duties and qualifications before applying.

• Design technical problems based on real engineering workflows, constraints, and supporting data.
• Produce correct analyses and explain the reasoning behind each solution.
• Set objective standards so another engineer can judge an answer consistently.
• Review other contributors' problems for technical accuracy and sound methods.
• Flag problems that are ambiguous or cannot be graded reliably.

What it pays and takes

This is a fully remote, short-term pilot expected to last approximately 2 to 3 weeks. The role is open to candidates in the countries specified for this project.

• Pay: $80 to $95 per hour.
• Language: Professional fluency in English.
• Education: A PhD or current PhD candidacy in electrical, mechanical, chemical, industrial, or aerospace engineering.
• Experience: Hands-on research or professional practice involving engineering problems you have worked on directly.
• Communication: Ability to explain technical reasoning clearly and make decisions another engineer can verify.
• Helpful but not required: A degree from a strong research institution, publications, technical contributions, or experience with AI or LLM evaluation.

About AI training work

AI training is the human work behind systems that learn from examples, including writing and evaluating technical questions and answers. OpenTrain helps people find these projects, and experienced engineers are paid for applying their subject knowledge to make AI outputs more accurate and useful.