Mechanical Engineering Technician

SaidGig; New York (NY); Remote; USD 41,000 - 96,000; Part time

Job summary

SaidGig is seeking a remote contract engineering-tech specialist to convert real lab and production experience into precise datasets, tasks, and evaluations for AI learning. You will develop authentic technician workflows, instrument tests, and data-grade rubrics without requiring prior AI experience.

The role is remote, contract-based, and compensated per task that meets project specs. Expect fast onboarding and weekly task submissions with performance-based timing.

Qualifications

• At least 4 years of hands-on experience in mechanical engineering technology lab, test, or production environments.
• An associate degree or recognized trade credential in mechanical engineering technology or a related field.
• Extensive experience with instrumentation, sensors, data-acquisition systems, and prototype testing workflows.
• Ability to document test procedures, outcomes, and failure modes in depth.
• Strong analytical ability to interpret complex datasets and diagnose equipment or process failures.

Responsibilities

• Design and write authentic technician workflow tasks covering test setup, instrumentation, data collection, and failure diagnosis.
• Source, synthesize, and build technical datasets from real lab or production scenarios, including test logs, calibration records, sensor outputs, and failure reports.
• Define accurate solution pathways, including test-data interpretation and informed next-step recommendations.
• Create rigorous grading rubrics with 35 or more items to assess instrumentation logic, data interpretation, and failure analysis.
• Document technical procedures, observations, and diagnostic findings with precision and clarity.
• Ensure evaluation tasks reflect the complexity and realism of professional practice rather than simplified textbook examples.

Skills

Mechanical engineering experience

Laboratory/production environment

Data interpretation

Remote work capability

Education

Associate degree in Mechanical Engineering Technology

Tools

Instrumentation

Sensors

Data-acquisition systems

Job description

Role Overview

Apply hands-on mechanical engineering technology expertise to create realistic benchmarks that help advanced AI systems learn, reason, and perform. This remote contract role focuses on converting real lab and production experience into precise technical tasks, datasets, solution paths, and evaluations. Prior AI experience is not required.

Key Responsibilities

• Design and write authentic technician workflow tasks covering test setup, instrumentation, data collection, and failure diagnosis.
• Source, synthesize, and build technical datasets from real lab or production scenarios, including test logs, calibration records, sensor outputs, and failure reports.
• Define accurate solution pathways, including test-data interpretation and informed next-step recommendations.
• Create rigorous grading rubrics with 35 or more items to assess instrumentation logic, data interpretation, and failure analysis.
• Document technical procedures, observations, and diagnostic findings with precision and clarity.
• Ensure evaluation tasks reflect the complexity and realism of professional practice rather than simplified textbook examples.

Qualifications

• At least 4 years of hands-on experience in mechanical engineering technology lab, test, or production environments.
• An associate degree or recognized trade credential in mechanical engineering technology or a related field.
• Extensive experience with instrumentation, sensors, data-acquisition systems, and prototype testing workflows.
• Ability to document test procedures, outcomes, and failure modes in depth.
• Strong analytical ability to interpret complex datasets and diagnose equipment or process failures.
• Familiarity with technical documentation formats, including CSV files, spreadsheets, PDFs, and related files.
• Ability to work independently on remote projects while meeting high technical standards.

Work Terms

Remote independent contractor engagement.

Compensation is output-based and paid per task that meets project specifications. Time required may vary based on experience and workflow.

Minimum submission requirements apply, including a minimum number of tasks submitted each week.

Roles are typically filled within 48 hours. Selected candidates should be ready to begin first tasks within 24 to 48 hours after completing onboarding.

Compensation

$30 to $70 per hour.