Chief Engineer / Mechanical Engineering Project Lead

Job4Travelers; Spring (TX); Remote; USD 124,000 - 207,000; Part time

Job summary

Gramian Consultancy is seeking an experienced Chief Engineer or Senior Mechanical Engineer to contribute to a specialized AI training project focused on complex, real-world engineering workflows.

This role is fully remote and contract-based; senior engineers with mechanical design, multidisciplinary leadership, and DFMA expertise will translate objectives into requirements, coordinate multi-discipline contributions, and define acceptance criteria.

Qualifications

• Experience in mechanical design and engineering analysis.
• Strong leadership across multidisciplinary projects.
• Proficient in communicating complex engineering concepts in English.
• Familiarity with Design for Manufacturing and Assembly (DFMA) principles.
• Ability to translate objectives into structured requirements and tasks.
• Experience coordinating multiple engineering disciplines to deliver on schedule.

Responsibilities

• Design realistic engineering projects involving mechanical design, engineering analysis, manufacturing, and testing.
• Develop project scenarios reflecting practical engineering challenges and industry workflows.
• Translate high-level objectives into detailed requirements, constraints, and acceptance criteria.
• Break complex problems into tasks with clear inputs, outputs, dependencies, and deliverables.
• Define responsibilities for specialists across engineering disciplines.
• Establish technical evaluation criteria to assess solution quality and feasibility.
• Incorporate design verification, manufacturing considerations, and testing procedures into workflows.
• Ensure tasks reflect professional engineering practices and standards.

Skills

Mechanical design

Engineering analysis

Technical leadership

DFMA

Project coordination

English proficiency

Job description

Remote Senior Mechanical Engineer - AI Project — Lima

This is a fully remote contractor role, making it genuinely location-independent for digital nomads with senior mechanical engineering backgrounds. The job description does not specify fixed hours or mandatory timezone overlaps, suggesting a largely async-friendly workflow — you're designing engineering project scenarios and documentation rather than attending real-time collaborative standups.

The posting prefers US-based candidates but explicitly welcomes worldwide applicants with strong experience, and the location hints include India, Australia, Japan, Singapore, Philippines, and New Zealand. This opens solid visa pathways:

• Portugal/Lisbon: Portugal's Digital Nomad Visa suits contractors earning above ~€3,040/month. Lisbon's cost of living remains moderate for Western Europe, though rising.
• Bangkok, Thailand: Thailand's LTR (Long-Term Resident) Visa or simple tourist visa + border runs work well for contract workers. Very low cost of living maximizes contractor earnings.
• Medellín, Colombia: Colombia's digital nomad visa allows stays up to 2 years. Medellín offers excellent infrastructure and low costs — ideal for APAC-to-LatAm timezone switchers.

No travel-specific perks (coworking stipends, equipment budgets) are mentioned. As a contract engagement, you'll want to confirm scope, deliverable cadence, and payment terms before committing. The lack of disclosed rates is worth clarifying upfront.

About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Job

We are seeking an experienced Chief Engineer or Senior Mechanical Engineer to contribute to a specialized AI training project focused on complex, real-world engineering workflows.

This role is designed for senior engineering professionals with a strong background in mechanical design, multidisciplinary project leadership, engineering analysis, and technical execution. You will use your industry experience to design realistic engineering projects, translate complex objectives into practical technical requirements, coordinate contributions from different engineering disciplines, and establish measurable evaluation criteria.

The ideal candidate has experience leading projects from initial concept through design, manufacturing, testing, and delivery, and can break down complex engineering challenges into structured tasks with clear technical expectations. Previous AI experience is not required.

• CONTRACT: Contractor
• LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered.
• PROJECT: AI training focused on complex engineering workflows.
• AI EXPERIENCE: Not required.
• FOCUS AREAS: Mechanical engineering, technical leadership, multidisciplinary project design, engineering analysis, manufacturing, and testing.

Key Responsibilities

Design realistic engineering projects involving mechanical design, engineering analysis, manufacturing, and testing.

Develop project scenarios that reflect practical engineering challenges and industry workflows.

Translate high-level project objectives into detailed engineering requirements, operating constraints, and measurable acceptance criteria.

Break complex engineering problems into interconnected tasks with clearly defined inputs, outputs, dependencies, and deliverables.

Define responsibilities and technical contributions for specialists across multiple engineering disciplines.

Establish technical evaluation criteria to assess the quality, feasibility, and completeness of engineering solutions.

Apply engineering judgment to assess design decisions, technical trade-offs, and project constraints.

Incorporate design verification, manufacturing considerations, testing procedures, and root-cause analysis into project workflows.

Ensure that project tasks reflect realistic engineering standards, processes, and professional practices.

Requirements

Substantial professional experience as a Chief Engineer, Senior Mechanical Engineer, or in a comparable engineering leadership position.

Proven experience leading complex engineering projects involving multiple technical disciplines.

Strong expertise in mechanical design and engineering analysis.

Practical knowledge of Design for Manufacturing and Assembly (DFMA) principles.

Experience with technical verification, engineering testing, and root-cause analysis.

Ability to translate complex engineering objectives into structured requirements, technical tasks, and measurable acceptance criteria.

Experience coordinating technical contributions and managing dependencies across engineering teams.

English proficiency at B2 level or higher.

Strong analytical, organizational, and technical communication skills.

Do I need prior AI or machine learning experience to apply? No, previous AI experience is explicitly not required. The role leverages your existing senior mechanical engineering expertise to design and structure realistic engineering workflows for AI training purposes. Is this role truly fully remote, or are there location restrictions? The role is fully remote. US-based candidates are preferred, but worldwide candidates with strong relevant experience are considered, including those based in India, Australia, Japan, Singapore, Philippines, and New Zealand. What type of employment is this — full-time or contract? This is a contractor/contract engagement, not a full-time salaried position. Project scope and duration details should be confirmed with Gramian Consultancy during the application process. What level of English proficiency is required? A minimum of B2 (upper-intermediate) English proficiency is required, as the role involves technical communication and documentation in English. What engineering disciplines are most relevant for this role? The focus areas include mechanical design, engineering analysis, manufacturing, testing, and multidisciplinary project leadership — particularly experience with DFMA, root-cause analysis, and technical verification.