Electronics Engineer (Remote | $80–$95/hr)

Synthires; India; À distance; INR 10 417 000 - 12 370 000; Plein temps

Résumé du poste

Synthires seeks PhD-qualified engineers across electrical, mechanical, chemical, industrial, or aerospace disciplines to contribute to a short-term technical evaluation pilot. You will craft advanced engineering problems rooted in real-world practice and provide rigorous solutions and justifications.

Responsibilities include designing scenarios, setting evaluation criteria, and reviewing problems for clarity and defensibility, while ensuring all materials are technically sound and actionable for

Qualifications

• PhD or current PhD candidacy in engineering disciplines listed.
• Strong analytical and problem-solving abilities.
• Ability to write clear, technical explanations.

Responsabilités

• Design engineering problems based on real-world research with clear constraints.
• Develop realistic problem scenarios and supporting data.
• Provide detailed solutions with step-by-step reasoning.
• Establish objective evaluation criteria and rubrics.
• Explain reasoning, calculations, and engineering principles.

Connaissances

Analytical problem solving

Technical writing

Attention to detail

Hands-on research

Independent work

Formation

PhD candidate / PhD in Electrical/Mechanical/Chemical/Industrial/Aerospace Engineering

Description du poste

We are seeking PhD-qualified engineers and PhD candidates in electrical, mechanical, chemical, industrial, or aerospace engineering to contribute to a short-term technical evaluation pilot.

The project focuses on developing challenging engineering problems based on real-world research and professional workflows rather than textbook exercises. You will design technical problems, provide accurate solutions with detailed reasoning, and establish objective criteria for evaluating the correctness of proposed answers.

Your practical engineering knowledge will help assess the technical reasoning and problem-solving capabilities of AI systems. Prior AI or LLM evaluation experience is not required.

Key Responsibilities

• Design advanced engineering problems based on real-world research, professional practice, and technical workflows within your specialization.
• Develop realistic problem scenarios that incorporate relevant engineering constraints, assumptions, specifications, and supporting data.
• Provide technically accurate solutions with detailed, step-by-step explanations of the underlying analysis and methodology.
• Establish objective evaluation criteria, grading rubrics, and correctness standards that allow other engineers to independently verify solutions.
• Explain the technical reasoning behind each solution, including relevant calculations, assumptions, and engineering principles.
• Review technical problems developed by other contributors for accuracy, completeness, methodological soundness, and practical relevance.
• Identify ambiguous, incomplete, or ungradable problems and flag them for clarification rather than submitting unreliable assessments.
• Ensure that all problem statements, supporting information, and reference solutions are clear, consistent, and technically defensible.
• Apply hands‑on research and professional engineering experience to create meaningful technical challenges.

Required Qualifications

• PhD or current PhD candidacy in one of the following engineering disciplines: Electrical Engineering, Mechanical Engineering, Chemical Engineering, Industrial Engineering, Aerospace Engineering
• Hands‑on research or professional engineering experience in the relevant specialization.
• Ability to develop technical problems based on work personally performed or directly experienced.
• Strong analytical and technical problem-solving skills.
• Ability to produce accurate engineering solutions and explain the reasoning behind them clearly.
• Ability to define objective correctness criteria that another qualified engineer can independently verify.
• Strong technical writing and communication skills.
• Attention to detail and the ability to identify technical inaccuracies, ambiguity, and incomplete assumptions.

Preferred Qualifications

• PhD or research experience from a recognized research institution.
• Publications, patents, or other demonstrated technical contributions in an engineering field.
• Experience designing complex engineering problems, conducting technical reviews, or evaluating research solutions.
• Previous experience with AI training, large language model (LLM) evaluation, or technical data annotation.
• Familiarity with structured grading rubrics, benchmark development, or technical assessment frameworks.

Compensation & Engagement

• Compensation: $80–$95/hour
• Engagement Type: Contractor
• Work Arrangement: Remote