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Generalist micro1

Academic Content Contributor – Design, Engineering & Manufacturing

Micro1 Remote Posted 62 days ago

Education

Any

Type

Pay Rate

$40/task

Posted

62d ago

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About this Role

Job Summary

Join our customer's team as an Academic Content Contributor and help shape the next generation of technical learning. We are seeking Master’s or PhD-level candidates from design, engineering, and manufacturing disciplines who have produced strong graduate-level academic work and are willing to contribute advanced, original coursework materials. This opportunity is ideal for candidates who have completed research projects, graduate coursework, simulations, or technically rigorous assignments and are interested in turning that work into meaningful contributions.

Key Responsibilities

Submit original, graduate-level academic materials created during your Master’s or PhD studies. Provide technically rigorous and domain-specific content such as advanced project files, lab reports, simulations, research assignments, or design documentation. Provide supporting explanations for complex submissions, including code walkthroughs, simulation logic, design decisions, or methodology. Ensure all submitted materials are your original work and not publicly shared . Collaborate with subject matter reviewers during the evaluation process and address feedback where necessary. Participate in licensing agreements for accepted submissions. Maintain high standards of technical accuracy, originality, and academic depth .

Required Skills and Qualifications

Currently enrolled in or recently completed a Master’s or PhD program in Mechanical, Electrical, Industrial, Manufacturing Engineering, or related fields. Strong exposure to graduate-level coursework, research projects, thesis work, or advanced laboratory assignments . Ability to produce technically detailed documentation and structured academic content . Proficiency in English for written technical communication. Experience using domain-relevant tools such as CAD software, MATLAB, SPICE, ANSYS, Python, or Jupyter Notebook . Comfortable sharing and licensing original academic work.

Preferred Qualifications

Master’s thesis or PhD research involving complex simulations, system design, or experimental analysis . Experience creating detailed technical reports, lecture notes, or graduate-level solutions . Strong familiarity with simulation environments, modeling tools, or advanced engineering workflows .

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection

Eligible Languages

Fluent proficiency in English

English

Key Responsibilities

  • original, graduate-level academic materials
  • created during your Master’s or PhD studies.
  • Provide technically rigorous and domain-specific content such as advanced project files, lab reports, simulations, research assignments, or design documentation.
  • Provide supporting explanations for complex submissions, including code walkthroughs, simulation logic, design decisions, or methodology.

Compensation Analysis

Work from anywhere, at any time. This fully remote position ($40/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.

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Frequently Asked Questions

How is this different from the others?

Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.

What is the catch?

Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

What is the interview like?

You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.