
Materials Scientist (Nanoparticle Sizing & Lot Release)
micro1
At a glance
Materials Scientist (Nanoparticle Sizing & Lot Release) is a remote other opening at micro1. The posting places it in Remote. The post date on the listing is 4 Nov 2026. No deadline is filled in on the listing. The notes below are written by Akazi. The advertisement under them is the employer's own text.
- Company
- micro1
- Job type
- Other · Remote
- Location
- Remote
- Deadline
- Deadline not listed
- Date posted
- 4 Nov 2026
How to apply
- Materials Scientist (Nanoparticle Sizing & Lot Release) is listed here so you can find it. micro1 takes the application. Akazi does not.
- Use Apply. It opens the employer's own site. Finish every step there, including an account if they ask for one.
- No deadline is stored in the listing fields. Read the advert in case the date is only written in the text, and apply while it is still open.
- It is remote (Remote). Say that you are based in Rwanda, which hours you can overlap with the team, and which languages you work in.
- Shape your CV around this other role and put the experience they ask for near the top. Name Kinyarwanda, English, or French only at the level you can actually work in.
- Do not pay a fee, buy a starter kit, or share a mobile-money PIN. A real application to micro1 will not ask you to pay in order to be hired.
Writing a CV for Rwanda · Preparing for interviews · Remote work from Rwanda
Apply(opens in a new tab)Employer advertisement
The text below is the public posting from micro1. Akazi did not write it.
Role Title : Materials Scientist (Nanoparticle Sizing & Lot Release)
Role Type : Contractor
Location : Remote
micro1 is engaging Materials Scientists (Nanoparticle Sizing & Lot Release) to contribute specialized expertise to a customer’s project focused on advanced nanomaterial evaluation. 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. This opportunity centers on thorough nanoparticle sizing, particle size distribution analysis, and lot release qualifications using Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM). The engagement emphasizes independent expert analysis — including manual image thresholding, calibration, and morphology assessments — without reliance on automated or AI-powered tools. Strong written and verbal communication skills are essential to document findings, interpret complex micrographs, and convey critical decisions to project stakeholders.
Scope of Work
Manually analyze and interpret TEM and SEM micrographs for nanoparticle sizing and morphological assessment Determine and document particle size distributions (PSD) with rigorous attention to accuracy and reproducibility Establish and communicate lot-release acceptance criteria based on technical reference cases and quality control standards Prepare detailed reports summarizing findings, methodologies, and recommendations for material qualification Validate measurement techniques through manual calibration, thresholding, and cross-checking against reference data Participate in technical discussions, providing expert insights on nanomaterial characterization and quality control criteria Deliver clear, concise written and verbal communications to facilitate knowledge transfer across project teams
Preferred Qualifications
Advanced knowledge of nanomaterial characterization, especially using TEM and SEM Demonstrated hands-on experience in nanoparticle sizing, particle size distribution analysis, and lot release evaluation Proficiency with manual image analysis, including thresholding, calibration, and interpretation of complex morphologies Strong understanding of quality control standards and reference material qualification protocols Exceptional written and verbal communication skills for reporting and collaboration Ability to evaluate and validate technical reference cases without the use of AI-based tools Background in scientific consulting, materials science, or laboratory-based analytical roles is a plus
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