Technical Problem Author (Multi-Domain)

Micro1; India; A distancia; INR 3.234.000 - 7.761.000; Jornada completa

Descripción de la vacante

Cashback24x7 is seeking a Technical Problem Author (Multi-Domain) to contribute to AI-driven engineering projects on a remote basis. You will craft and evaluate advanced technical problems across Aerodynamics, CAD/Mechanical Design, Circuit Design, and related fields, guiding AI models with precise feedback.

The role emphasizes independent work, strong domain expertise, and exceptional written and verbal communication. Immediate start and flexible engagement terms are available.

Formación

• Advanced degree (MS or PhD) in a relevant engineering discipline.
• At least 5 years of hands-on technical experience in engineering domains such as Aerodynamics, CAD/Mechanical Design, or Circuit Design.
• Proven track record in technical problem authoring or equivalent activities.

Responsabilidades

• Author and evaluate advanced technical problems in your domain to support AI model training.
• Review AI-generated technical responses for correctness and engineering relevance.
• Provide clear written and verbal explanations and feedback to support AI learning.
• Collaborate remotely with a network of technical experts to deliver domain input.
• Document insights and recommendations to inform model improvement.

Conocimientos

English proficiency

Technical communication

Educación

MS/PhD in engineering

Herramientas

AutoCAD

CAD suites

CFD/FEA software

EDA tools

Descripción del empleo

Job DescriptionRole Title: Technical Problem Author (Multi-Domain)Role Type: ContractorLocation: Remotemicro1 is engaging Technical Problem Authors (Multi-Domain) to contribute to a customer's project focused on advancing the capabilities of AI technologies in engineering. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Author and evaluate advanced technical problems in your area of expertise, such as Aerodynamics, Materials Science, CAD/Mechanical Design, Circuit Design, or Mechanical Engineering.
• Review and assess AI-generated technical responses for correctness, accuracy, and engineering relevance.
• Apply practical engineering judgment to real-world design, analysis, and failure scenarios, along with theoretical problem contexts.
• Analyze and troubleshoot complex, domain-specific issues, identifying ambiguities and proposing clarifications in technical statements and conditions.
• Provide structured feedback and clear written and verbal explanations to support and enhance AI learning and reasoning capabilities.
• Collaborate remotely with a network of technical experts and project participants to deliver high-quality domain input.
• Document insights and recommendations to inform continuous model improvement and refinement of problem statements.

Preferred Qualifications

• Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial industry experience (8+ years for Aerodynamics/Circuit Design/Mechanical Engineering; 5+ years for CAD/Mechanical Design).
• At least 5 years of hands‑on technical experience in your domain, such as mechanical design, aerodynamic analysis, materials selection, or circuit/system development.
• Demonstrated track record in technical problem authoring (e.g., olympiad problem committees, licensure exam item writing, academic qualifying‑exam authorship, standards committee roles, or technical competition leadership).
• Flagship publications, patents, or industry awards recognized within your field, or evidence of technical rigor through competition results or committee service.
• Professional‑level English proficiency and exceptional written and verbal communication skills are essential.
• Familiarity with industry‑standard engineering tools (e.g., AutoCAD, CAD suites, CFD/FEA software, EDA tools, or lab equipment) relevant to your specialty.
• Experience working independently and remotely, contributing high‑quality deliverables within required project timelines.

Compensation Structure

• Compensation is output-based; experts are paid per task that meets the project specifications.
• The time required to complete work may vary depending on the expert's experience and workflow.
• Minimum submission requirements apply.
• Experts must submit a minimum of tasks per week.

Start Timeline & Availability

• We typically fill roles within 48 hours and are looking for experts ready to jump in right away.
• If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.