R&D Systems & Lab Operations Specialist
Micro1 • Remote • Posted 12 days ago
Education
Any
Type
Pay Rate
$50/task
Posted
12d ago
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About this Role
Job Title: R&D Systems & Lab Operations Specialist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a R&D Systems & Lab Operations Specialist and play a pivotal role in shaping the future of digital laboratory environments. In this expert-level, remote role, you will review, structure, and enhance rubrics to ensure lab protocols translate seamlessly into trackable, auditable workflows, supporting high-impact research and operational excellence. Key Responsibilities: Review and refine rubrics to validate the accuracy and usability of laboratory processes within electronic lab environments. Translate experimental protocols into structured workflows using Electronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS). Assess and enhance the clarity of documentation to ensure written protocols are actionable, logical, and ready for digital adoption. Collaborate with cross-functional teams to identify workflow improvements and ensure realistic QA pairs that mirror everyday lab operations. Monitor and track protocol execution, providing feedback to ensure compliance with best practices in digital lab management. Champion quality assurance by identifying gaps, inconsistencies, and opportunities for automation in lab processes. Serve as a key contributor to the development of scalable and reproducible lab data management strategies. Required Skills and Qualifications: Proven expertise with ELNs and LIMS, including workflow design and system configuration. Exceptional written and verbal communication skills to convey complex information clearly across diverse audiences. Strong analytical mindset and attention to detail in the review and optimization of digital lab processes. Experience translating laboratory protocols into structured, digital formats with robust traceability. Solid understanding of quality assurance principles in R&D settings. Ability to work independently and as part of a remote, expert-driven team. Demonstrated experience developing or reviewing rubrics for laboratory or scientific operations. Preferred Qualifications: Advanced degree in life sciences, chemistry, engineering, or related discipline. Familiarity with automated data capture and digital transformation initiatives in laboratory environments. Previous experience as a reviewer or validator in a digital lab setting.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Generalist
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($50/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.