Mechanical Engineering Technician

Remotebridge; United States; Remote; USD 34,000 - 69,000; Full time

Job summary

Frontier AI Lab is seeking a Mechanical Engineering Technician contractor to support remote development of AI benchmarks. You will design technician workflows, orchestrate test setups, collect data, and diagnose failures to feed real-world models.

This role emphasizes hands-on instrumentation, data acquisition, and thorough technical documentation. Remote collaboration is essential, with high standards for reproducibility and clarity across lab and production environments.

Qualifications

• Minimum 4 years hands-on lab, test or production experience in mechanical engineering tech.
• Associate degree or trade credential in mechanical engineering technology.
• Experience with instrumentation, sensors, data acquisition systems, and prototype testing workflows.
• Proven ability to document test procedures, outcomes, and failure modes in detail.
• Strong analytical skills for interpreting data and diagnosing failures.
• Familiarity with CSVs and spreadsheets for data handling.

Responsibilities

• Design and author authentic technician workflow tasks reflecting real-world challenges.
• Source, synthesize, and construct technical datasets from lab scenarios.
• Define solution pathways including interpretation of test data and next steps.
• Develop 35+ item rubrics to evaluate instrumentation logic and data interpretation.
• Document procedures, observations, and diagnostic findings with high precision.
• Ensure evaluation tasks meet realism standards for professional practice.

Skills

Instrumentation

Data acquisition

Technical documentation

Analytical skills

Remote collaboration

Education

Associate degree in mechanical engineering technology

Tools

CSV

Spreadsheet software

Test instrumentation

Job description

# Mechanical Engineering TechnicianFrontier AI Lab · Remote · Full-time## Ready to see if you fit?Upload a resume once, then run an honest fit check on this role in seconds. Access is free and always will be.Sign up to check your fit## About the roleRole Title: Mechanical Engineering TechnicianRole Type: ContractorLocation: RemoteOur team is engaging Mechanical Engineering Technicians to contribute to a customer's project involving the development of advanced AI benchmarks. 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• Design and author authentic technician workflow tasks that reflect real-world challenges, including test setup, instrumentation, data collection, and failure diagnosis.• Source, synthesize, and construct technical datasets (such as test logs, calibration records, sensor outputs, and failure reports) derived from actual lab or production scenarios.• Define accurate solution pathways, including the interpretation of test data and informed next-step recommendations.• Develop rigorous, 35+ item grading rubrics to evaluate technical skills in instrumentation logic, data interpretation, and failure analysis, usable by AI and domain experts alike.• Document detailed technical procedures, observations, and diagnostic findings with high precision and clarity.• Ensure all evaluation tasks meet the complexity and realism standards representative of professional practice, surpassing simplified textbook examples.### Preferred Qualifications• Minimum 4 years of hands-on experience in lab, test, or production environments within mechanical engineering technology.• Associate degree or recognized trade credential in mechanical engineering technology or related discipline.• Extensive experience with instrumentation, sensors, data acquisition systems, and prototype testing workflows.• Demonstrated ability to perform in-depth technical documentation of test procedures, outcomes, and failure modes.• Strong analytical skills for interpreting complex datasets and diagnosing equipment or process failures.• Familiarity with technical documentation formats, such as CSVs, spreadsheets, PDFs, and other relevant files.• Comfort working independently, contributing to remote projects, and aligning deliverables with high technical standards.Compensation StructureCompensation 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 & AvailabilityWe 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.